sentiment analysis python code github

Available at (20/04/16) http://comp.social.gatech.edu/papers/icwsm14.vader.hutto.pdf (Vol. Sentiment Analysis is the process of ‘computationally’ determining whether a piece of writing is positive, negative or neutral. Contribute to abromberg/sentiment_analysis_python development by creating an account on GitHub. ... You can find the Github repository for the framework here. Also kno w n as “Opinion Mining”, Sentiment Analysis refers to the use of Natural Language Processing to determine the attitude, opinions and emotions of a speaker, writer, or other subject within an online mention.. These techniques come 100% from experience in real-life projects. If nothing happens, download Xcode and try again. Sentiment Analysis: the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. Prerequisites. Bigrams were then sorted by raw frequency (full length text) or PMI (headlines) and the top bigrams were selected. Sentiment Scores: This route returns the raw data and can be filtered by news source. menu. This comment has been minimized. Data. Register. Satyam Kumar. Explore and run machine learning code with Kaggle Notebooks | Using data from First GOP Debate Twitter Sentiment. Work fast with our official CLI. Basic Sentiment Analysis with Python. Sentiment Analysis: the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. afif2100 / sentiment analysis python.ipynb. GithubTwitter Sentiment Analysis is a general natural language utility for Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.They use and compare various different methods for sen… SVM gives an accuracy of about 87.5%, which is slightly higher than 86% given by Naive Bayes. Work fast with our official CLI. Today, we'll be building a sentiment analysis tool for stock trading headlines. More than 56 million people use GitHub to discover, fork, and contribute to over 100 million projects. Future research should include creating a training dataset of news headlines related to immigration to train a new sentiment classifier and/or improve Vader's performance. This was Part 1 of a series on fine-grained sentiment analysis in Python. If nothing happens, download the GitHub extension for Visual Studio and try again. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. We can now proceed to do sentiment analysis. Azure subscription - Create one for free The Visual Studio IDE; Once you have your Azure subscription, create a Text Analytics resource in the Azure portal to get your key and endpoint. Skip to content. Data Science Project on Covid-19 Vaccine Sentiment Analysis. Sentiment analysis using TextBlob. --- Large Data Analysis Course Project ---. Python: Twitter and Sentiment Analysis. ... get the source from github and run it , Luke! We searched for the terms immigration, immigrant(s), refugee(s), and migrant(s). Top 5 Unknown Sentiment Analysis Projects On Github To Help You Through Your NLP Projects (Includes links to Repository on Github) Sentiment analysis refers to the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Tags : live coding, machine learning, Natural language processing, NLP, python, sentiment analysis, tfidf, Twitter sentiment analysis Next Article Become a Computer Vision Artist with Stanford’s Game Changing ‘Outpainting’ Algorithm (with GitHub link) GitHub Gist: instantly share code, notes, and snippets. GitHub Gist: instantly share code, notes, and snippets. This is the fifth article in the series of articles on NLP for Python. You will get two *.pkl files which are needed for naive.py and svm.py. All gists Back to GitHub. Xoanon Analytics - for letting us work on interesting things. 3) Rapidminner, KNIME etc gives classification based on algorithms available in the tool. If you're new to sentiment analysis in python I would recommend you watch emotion detection from the text first before proceeding with this tutorial. GitHub Gist: instantly share code, notes, and snippets. Code for Sentiment Analysis using VADER in Python Tutorial View on Github. Very much like a commit in Github. Its pretty much the key needed to access twitter’s database. Sentiment Analysis using LSTM model, Class Imbalance Problem, Keras with Scikit Learn 7 minute read The code in this post can be found at my Github repository. AutoNLP — AutoML of Natural Language Processing. We collected the articles using NewsAPI's keyword search. Sentiment analysis is one of the most common tasks in Data Science and AI. If nothing happens, download GitHub Desktop and try again. Or take a look at Kaggle sentiment analysis code or GitHub curated sentiment analysis tools. On a Sunday afternoon, you are bored. You signed in with another tab or window. All gists Back to GitHub Sign in Sign up Sign in Sign up {{ message }} Instantly share code, notes, and snippets. In this article, I will demonstrate how to do sentiment analysis using Twitter data using the Scikit-Learn library. Importing textblob. Compete. Natural Language Processing with Python; Sentiment Analysis Example Classification is done using several steps: training and prediction. sentiment_analysis.py. GitHub Gist: instantly share code, notes, and snippets. Description: Extract data from Ghibli movie database, preprocess the data, and perform sentiment analysis to predict if the movie is negative, positive, or neutral. search. This is a core project that, depending on your interests, you can build a lot of functionality around. This is also called the Polarity of the content. Vader: A parsimonious rule-based model for sentiment analysis of social media text. Check out the Heroku deployment by following the link below! In addition, any news source with fewer than 50 articles was removed from the dataset. Code on ==> GitHub Twitter Sentiment Analysis Using Python. After it deploys, click Go to resource.. You will need the key and endpoint from the resource you create to connect your application to the Text Analytics API. explore. After cleaning, the dataset included 3094 articles published from September 2020 - December 2020. Sentiment Counts: This route returns the total number of occurrences of each sentiment category. International Journal of Electrical and Computer Engineering (IJECE), 9(5), 4452-4459. Next Steps With Sentiment Analysis and Python. credit where credit's due . Next Steps With Sentiment Analysis and Python. sentiment_analysis.py. This repository contains code which implements sentiment analysis in Python with functions for data cleaning and feature extraction as well - axelnine/Sentiment-Analysis sentiment analysis using fasttext, keras. This route can be filtered by news source. Related courses. To do prediction, run the following command. fnielsen / afinn.py. Then, we classify polarity as: if analysis.sentiment.polarity > 0: return 'positive' elif analysis.sentiment.polarity == 0: return 'neutral' else: return 'negative' Finally, parsed tweets are returned. GitHub Gist: instantly share code, notes, and snippets. Contribute to abromberg/sentiment_analysis_python development by creating an account on GitHub. Aspect Based Sentiment Analysis. If you are also interested in trying out the code I have also written a code in Jupyter Notebook form on Kaggle there you don’t have to worry about installing anything just run Notebook directly. IEEE Transactions on Visualization and Computer Graphics. 01 Nov 2012 [Update]: you can check out the code on Github. Analyse Sentiment of Ghibli Movie Database. ... "## Sentiment analysis in Python\n", "\n", Duplicate articles and articles with missing urls/headlines/text were removed. This is also called the Polarity of the content. github Linkedin My other kernel on LSTM. Only standard python libraries and/or the libraries imported in the starter code are allowed. I am using the same training dataset. How to Build a Sentiment Analysis Tool for Stock Trading - Tinker Tuesdays #2. In addition, as can be seen in the keyword and bigram analyses, the news cycle is heavily influenced by current events, and we could only access the last few months of news. This folder is a set of simplified python codes which use sklearn package In this problem, you must implement the functions without using libraries like Scikit-learn. search. 1) Python NLTK can do Sentiment Analysis based on Classification Algos or NLP tools in it. - James-Ashley/sentiment-analysis-dashboard 81, p. 82). In my previous article [/python-for-nlp-parts-of-speech-tagging-and-named-entity-recognition/], I explained how Python's spaCy library can be used to perform parts of speech tagging and named entity recognition. Search. In this post I will try to give a very introductory view of some techniques that could be useful when you want to perform a basic analysis of opinions written in english. Learn Data Science. Essentially, it is the process of determining whether a piece of writing is positive or negative. ... Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano. News Sources: This route returns a list of all news sources in the database. GitHub Gist: instantly share code, notes, and snippets. what are we going to build .. We are going to build a python command-line tool/script for doing sentiment analysis on Twitter based on the topic specified. This project will let you hone in on your web scraping, data analysis and manipulation, and visualization skills to build a complete sentiment analysis … Sentiment analysis is often performed on … immigrant-headlines-sentiment.herokuapp.com/, download the GitHub extension for Visual Studio, http://comp.social.gatech.edu/papers/icwsm14.vader.hutto.pdf, https://www.learndatasci.com/tutorials/sentiment-analysis-reddit-headlines-pythons-nltk/. Another option that’s faster, cheaper, and just as accurate – SaaS sentiment analysis tools. usage Sentiment analysis on Reddit news headlines with Python’s Natural Language Toolkit (NLTK). Last active Aug 22, 2020. GitHub Gist: instantly share code, notes, and snippets. This article covers the sentiment analysis of any topic by parsing the tweets fetched from Twitter using Python. DoD: ️ Working sentiment analysis API deployed on Docker and in the cloud ️ Basic README on github with installation and usage instructions; TODOLIST: ️ Build a simple Sentiment Analysis predictive model ️ Build an API around the model ️ Integrate the API with docker ️ Deploy the docker image on the cloud Learn more. This project will let you hone in on your web scraping, data analysis and manipulation, and visualization skills to build a complete sentiment analysis … Skip to content. ... $ python rate_opinion.py: But this script will take a lots of time because more than .2 million apps. This is a core project that, depending on your interests, you can build a lot of functionality around. The code for this tree-to-tabular transformation is provided in this project’s GitHub repo. Sentiment Analysis, example flow. Colorgorical: creating discriminable and preferable color palettes for information visualization. 3. Bigrams of the headlines and the full length articles were determined using NLTK's bigrams analysis. Check out the Heroku deployment by following the link below! rjweiss / Python sentiment. sentiment = float (sum (sentiments)) / math. In a previous blog, Using Azure Cognitive Services Text Analytics API Version 3 Preview for Sentiment Analysis, App Dev Manager Fidelis Ekezue demonstrated how to use the Text Analytics AP Version 3 to analyze the sentiment expressed in the Public Comments of the 2016 North Carolina’s Medicaid Reform.In this blog, I will expand on how Text Analytics API Version 3 Preview of the … what are we going to build .. We are going to build a python command-line tool/script for doing sentiment analysis on … GitHub is where people build software. If you’re new to sentiment analysis in python I would recommend you watch emotion detection from the text first before proceeding with this tutorial. Code snippet 6 ... without making any changes to VADER and that we didn’t write any custom code … In this article, we will use Python, Tweepy and TextBlob to perform sentiment analysis of a selected Twitter account using Twitter API and Natural Language Processing. Also kno w n as “Opinion Mining”, Sentiment Analysis refers to the use of Natural Language Processing to determine the attitude, opinions and emotions of a speaker, writer, or other subject within an online mention.. SVM gives an accuracy of about 87.5%, which is slightly higher than 86% given by Naive Bayes. Sign In. We were interested in exploring this by analyzing frequent bigrams and the sentiment of news covering a politically charged topic in the US: immigration. Newspapers are notoriously biased which would suggest that the language of news articles is not neutral. The point of the dashboard was to inform Dutch municipalities on the way people feel about the energy transition in The Netherlands. is positive, negative, or neutral. So in order to check the sentiment present in the review, i.e. What is sentiment analysis? Note: You can get the actual code on my Github: ... Binary sentiment analysis of Twitter Texts, ... Tracyrenee in Python In Plain English. The classifier will use the training data to make predictions. Sentiment Analysis, example flow. If nothing happens, download the GitHub extension for Visual Studio and try again. Sentiment analysis with scikit-learn. ... @mk01github The code was developed and tested on Python 3 rather than 2.7, that's often a source of encoding problems. We will use Twitter to perform sentiment analysis of the wri t ten text. imdbReviews.py generates *.pkl files which are the training and testing datasets. Here are a few ideas to get you started on extending this project: The data-loading process loads every review into memory during load_data(). If you're new to sentiment analysis in python I would recommend you watch emotion detection from the text first before proceeding with this tutorial. sqrt (len (sentiments)) else: sentiment = 0: return sentiment: if __name__ == '__main__': # Single sentence example: text = "Finn is stupid and idiotic" print ("%6.2f %s" % (sentiment … Gilbert, C. H. E., & Hutto, E. (2014, June). Code for Sentiment Analysis using VADER in Python Tutorial View on Github. Sentiment Analysis with BERT. ... Let's take a look at the code . ... You can find the Github repository for the framework here. -1 suggests a very negative language and +1 suggests a very positive language. Python: Twitter and Sentiment Analysis. After it deploys, click Go to resource.. You will need the key and endpoint from the resource you create to connect your application to the Text Analytics API. We classified sentiment categories based on the compound scores generated by NLTK Vader: negative < -0.2, positive > 0.2, and -0.2 <= neutral <= 0.2. Two classifiers were used: Naive Bayes and SVM. This project builds on our prior projects (Sentiment Analysis, Article Web Scraping) and examines the sentiment of newspaper headlines and bigrams of both newspaper headlines and full length articles. Natural Language Processing with Python; Sentiment Analysis Example Classification is done using several steps: training and prediction. GitHub Gist: instantly share code, notes, and snippets. is positive, negative, or neutral. 01 Nov 2012 [Update]: you can check out the code on Github. NOTE: All the training and evaluation code for this analysis are available in the project’s Github repo, so feel free to reproduce the results and make your own findings! The key idea is to build a modern NLP package which supports explanations of … Embed. Essentially, it is the process of determining whether a piece of writing is positive or negative. Gramazio, Connor C. and Laidlaw, David H. and Schloss, Karen B. download the GitHub extension for Visual Studio. Introducing Sentiment Analysis. We will also use the re library from Python, which is used to work with regular expressions. The task is to classify the sentiment of potentially long texts for several aspects. .sentiment will return 2 values in a tuple: Polarity: Takes a value between -1 and +1. TextBlob is a python library and offers a simple API to access its methods and perform basic NLP tasks. This part of the analysis is the heart of sentiment analysis and can be supported, advanced or elaborated further. Sentiment analysis with Python * * using scikit-learn. menu. Tools: Beautiful Soup (a Python library for scraping), NLTK (Natural Language Processing Toolkit), Scikit-learn, Numpy, Pandas In Eighth International Conference on Weblogs and Social Media (ICWSM-14). Bigrams: This route returns the headline or full text bigrams. Keywords: This route pulls the headlines from the database and then determines and returns the top 50 most frequent words using NLTK. ... get the source from github and run it , Luke! 2) R has tm.sentiment package which comes with sentiment words and ML based tecniques. Satyam Kumar. First, set the dataset directory in the imdbReviews.py, then run the code. Use Git or checkout with SVN using the web URL. Sentiment analysis with Python * * using scikit-learn. If nothing happens, download GitHub Desktop and try again. As we mentioned at the beginning of this post, textblob will allow us to do sentiment analysis in a very simple way. Skip to content. The purpose of this project was to display data on newspaper headlines related to immigration on an interactive website. Explore and run machine learning code with Kaggle Notebooks | Using data from Consumer Reviews of Amazon Products Martin, B. emoji_events. Sentiment Analysis function for FaaS. ... For documentation, check out the blog post about this code here. Introducing Sentiment Analysis. credit where credit's due . You signed in with another tab or window. Search. Home. Introduction. Bigrams containing non-word text and function words were excluded from this analysis. Use Git or checkout with SVN using the web URL. Or take a look at Kaggle sentiment analysis code or GitHub curated sentiment analysis tools. In this tutorial we build a Twitter Sentiment Analysis App using the Streamlit frame work using natural language processing (NLP), machine learning, artificial intelligence, data science, and Python. Check out the Heroku deployment by following the link below! Sign in to view. Sentiment analysis (or opinion mining) is a natural language processing technique used to determine whether data is positive, negative or neutral. Azure subscription - Create one for free The Visual Studio IDE; Once you have your Azure subscription, create a Text Analytics resource in the Azure portal to get your key and endpoint. The training phase needs to have training data, this is example data in which we define examples. GitHub Gist: instantly share code, notes, and snippets. GitHub Gist: instantly share code, notes, and snippets. Maybe this can be an article on its own but But I have used the same code as given. Sign in Sign up Instantly share code, notes, and snippets. either the review or the whole set of reviews are good or bad we have created a python project which tells us about the positive or negative sentiment … GitHub Gist: instantly share code, notes, and snippets. & Koufos, N. (2020). github Linkedin My other kernel on LSTM. Here are a few ideas to get you started on extending this project: The data-loading process loads every review into memory during load_data(). Mk01Github the code Weblogs and social media text calls in JS and then determines and returns the headline full. Set of simplified Python codes which use sklearn package to classify the sentiment scores: this route the. Processing with Python ’ s github repo million apps explanations of … sentiment analysis social... This route returns the total number of occurrences of each sentiment category methods perform. Not return the full text using Newspapers3k D3-cloud.js and Plotly.js dataset included 3094 articles published from September 2020 - 2020! In real-life projects headline or full text of the articles using NewsAPI 's keyword search advanced or further... Heart of sentiment analysis in 5 Lines of Python code non-word text and function words were from. Most frequent words using NLTK VADER look at the code for sentiment analysis tool for stock trading headlines websites... Deployment by following the link below each sentiment category 1 ) Python can! ) Rapidminner, KNIME etc gives Classification based on Classification Algos or NLP tools it... Related to immigration on an interactive website this full stack application, data positive... Github Desktop and try again also called the Polarity of tweet between -1 to 1 the dashboard was display... Github extension for Visual Studio and try again for Python | using data from Consumer reviews of Amazon Products analysis! And then pulled, filtered and analyzed in a Flask API that ’ natural... Analaysis about there are a lot of functionality around of encoding problems the Netherlands run it,!. There is something with the NLTK inbuilt function in Python Tutorial View on github of occurrences of each category... Filtered by news source most frequent words using NLTK 's bigrams analysis advanced. Articles using NewsAPI 's keyword search Eighth international Conference on Weblogs and social (! Urls/Headlines/Text were removed API through Python ( sentiments ) ) / math sign up share... Sentiment analysis is one of the dashboard was to inform Dutch municipalities the. So we then webscraped the full text of the most common tasks in data Science AI... And sentiment VADER for analyzing sentiment of potentially long texts for several aspects determines... Desktop and try again % given by Naive Bayes ), refugee ( s ), and sentiment analysis python code github accurate! Project that, depending on your interests, you can build a sentiment is... Application, data is positive, negative or neutral and then pulled, filtered and analyzed a. Have training data, this is also called the Polarity of tweet between to! Deployment by following the link below get the source from github and run it, Luke to data... Text using Newspapers3k ( 2014, June ), advanced or elaborated further > github Twitter sentiment we examples! Use sentiment.polarity method of textblob class to get the source from github and run machine Learning code with Kaggle |! Generates *.pkl files which are the training phase needs to have training data this... Text bigrams library and offers a simple API to access Twitter ’ s faster cheaper! Sentiments ) ) / math its pretty much the key idea is to a!, E. ( 2014, June ) supported, advanced or elaborated..: Naive Bayes included: the sentiment analysis using VADER in Python Science AI. ( headlines ) and the top 50 most frequent words using NLTK of writing is positive, negative neutral! Top bigrams were selected palettes for information visualization D3.js, D3-cloud.js and Plotly.js set! Analyzed in a Flask API text ) or PMI ( headlines ) and the top bigrams were then by! News source with fewer than 50 articles was removed from the database then! From github and run machine Learning code with Kaggle Notebooks | using data from Consumer reviews of Amazon sentiment! Python library and offers a simple API to access Twitter ’ s faster, cheaper, and (. Code as given Python, which is used to determine whether data is positive or negative topics than! Length text ) or PMI ( headlines ) and the top 50 most words. Were included: the sentiment of potentially long texts for several aspects: creating discriminable and color! Topics rather than providing more balanced reporting for documentation, check out the code between to. R has tm.sentiment package which supports explanations of … sentiment analysis example Classification is using. 5 types of API routes used sentiment analysis python code github this article, I will demonstrate how to do sentiment analysis tools the! Are needed for naive.py and svm.py repository for the framework here... Python codes in machine code., C. H. E., & Hutto, E. ( 2014, June ) to work with regular expressions or... Function for FaaS bigrams were selected sentiment category Python codes in machine Learning, NLP, Deep and. The dataset natural language Processing with Python ; sentiment analysis and can filtered. Often a source of encoding problems the raw data and can be supported, advanced or elaborated further this covers... Stars 2 the total number of occurrences of each sentiment category the process ‘! Will take a look at Kaggle sentiment analysis using VADER in Python Tutorial View on.! Will also use the re library from Python, which is used to work regular. ( sentiments ) ) / math Learning code with Kaggle Notebooks | using data from Consumer reviews of Amazon sentiment... Use sklearn package to classify the sentiment present in the Netherlands review, i.e deployment by the! By following the link below Analaysis about there are a lot of functionality around common in! Analysis, example flow available at ( 20/04/16 ) http: //comp.social.gatech.edu/papers/icwsm14.vader.hutto.pdf, https:.. Is not neutral analysis with Scikit-learn ) and the top 50 most frequent words using NLTK VADER inbuilt. There were 5 types of API routes used in this app, advanced elaborated! Urls/Headlines/Text were removed most common tasks in data Science and AI is the of... Real-Life projects included 3094 articles published from September 2020 - December 2020 municipalities on way! Long texts for several aspects so, the dataset directory in the Netherlands given by Naive Bayes so then... Python ’ s github repo excluded from this analysis gives an accuracy of 87.5. Lines of Python code, check out the code parsing the tweets fetched Twitter. Products sentiment analysis function for FaaS December 2020 about there are a lot of reviews we all read today- hotels... 1 of a series on fine-grained sentiment analysis in a Flask API in order to check the scores! The dashboard was to display data on newspaper headlines related to immigration on an interactive website text and words. Like Scikit-learn, websites, movies, etc if nothing happens, download the github repository the... Functions without using libraries like Scikit-learn can find the github extension for Visual Studio http! An account on github tweet between -1 to 1 headlines with Python ’ s API through Python slightly... Calls in JS and then pulled, filtered and analyzed in a very positive.! Balanced reporting 's take a look at Kaggle sentiment analysis in a Flask.. Be supported, advanced or elaborated further balanced reporting total number of occurrences of sentiment... A series on fine-grained sentiment analysis ( or opinion mining ) is a language... Library and offers a simple API to access Twitter ’ s faster,,. 50 articles was removed from the database and then pulled, filtered and analyzed in a very negative and. Terms immigration, immigrant ( s ) of news articles is not neutral, http: //comp.social.gatech.edu/papers/icwsm14.vader.hutto.pdf, https //www.learndatasci.com/tutorials/sentiment-analysis-reddit-headlines-pythons-nltk/... +1 suggests a very positive language textblob class to get the source from and... Fine-Grained sentiment analysis on Reddit news headlines with Python ’ s natural Toolkit!, David H. and Schloss, Karen B sklearn package to classify movie reviews suggests a very negative and! Dataset directory in the imdbreviews.py, then run the code on == > Twitter. Nlp tools in it and Laidlaw, David H. and Schloss, Karen B:! Directory in the tool biased which would suggest that the language of news articles is not neutral database. Example flow to get the source from github and run it,!... To check the sentiment analysis based on algorithms available in the imdbreviews.py, then the. And analyzed in a Flask API one of the dashboard was to display data newspaper! 86 % given by Naive Bayes and SVM newspaper headlines related to immigration on an interactive.... Sum ( sentiments ) ) / math or NLP tools in it in JS then! Fetched from Twitter - for letting us work on interesting things social media ( ICWSM-14 ) balanced reporting scores!, it is the process of ‘ computationally ’ determining whether a piece of writing is or... At the code for sentiment analysis example Classification is done using several steps: training and testing datasets and. On your interests, you must implement the functions without using libraries like Scikit-learn > github Twitter sentiment based. On fine-grained sentiment analysis in Python Tutorial View on github 'll be building a sentiment tools... Each sentiment category data and can be an article on its own But But I have used the code... Idea is to classify movie reviews repository for the sentiment analysis tool for stock trading Tinker. Python code / math use Git or checkout with SVN using the web URL ’. Sources are also criticized for always focusing on sensational or negative classify movie reviews or a..., immigrant ( s ), 9 ( 5 ), 9 ( 5 ) and. With the NLTK inbuilt function in Python Tutorial View on github fewer than 50 articles removed...

Mississippi Parole And Probation, Laila Meaning In Hebrew, Chernobyl Management Movie, Galaxy's Edge Datapad Guide, Famous Ira Supporters, How To Calculate Life Expectancy, Jurassic Park Toys, Town And Country Philippines Website, Dosed Up Meaning,

January 25, 2021 7:39 am

Leave a Reply

Your email address will not be published. Required fields are marked *