AGiannoutsos/Twitter-Sentiment-Analysis-with-LSTMs-ELMo
Twitter Sentiment analysis using RNS like LSTMs, GRUs and enhancing the performance with ELMo embeddings and a self-attention model
This project helps you understand public opinion by analyzing Twitter posts and classifying them as positive or negative. You feed it raw tweets, and it outputs a sentiment classification for each one. This tool is for marketers, public relations professionals, or social media analysts who need to quickly gauge sentiment around brands, products, or events.
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Use this if you need to automatically categorize large volumes of Twitter data to understand the prevailing sentiment towards a specific topic.
Not ideal if you require highly nuanced sentiment analysis beyond simple positive/negative classification or if your data sources are not primarily Twitter.
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Mar 31, 2021
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