chaithanya21/Sentiment-Analysis-using-Pyspark-on-Multi-Social-Media-Data
In this mini-project i have chosen to do sentiment analysis of social media websites such as twitter and reddit to gain insights into the people’s opinion towards prime ministerial candidates for the Lok Sabha election 2019. Social media provides a platform for people’s opinion of a person or event or topic to be heard from anywhere at any time and is the easiest and fastest way for them to do it. So, analysing these sentiments will be of immense use in knowing the trending topics and the mood of the people towards those topics among other things. The mini-project also aims at implementing and comparing contemporary machine learning text classification algorithms to predict the sentiment of a piece of text.
This project helps political strategists, campaign managers, or public opinion researchers understand public sentiment. It takes social media posts from platforms like Twitter and Reddit and analyzes them to reveal positive, negative, or neutral opinions. The output helps users gauge the mood of the public towards political candidates or trending topics, providing insights into public perception.
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Use this if you need to quickly analyze large volumes of social media text to understand public opinion and sentiment towards specific political figures or topics.
Not ideal if you need a real-time sentiment analysis tool, or if your primary interest is in a domain other than politics or social trends.
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