akanshajainn/Sentiment-Analysis-Twitter-word2vec-keras
A tweet sentiment classifier using word2vec and Keras. This Keras model can be saved and used on other tweet data, like streaming data extracted through the tweepy API.
This tool helps social media analysts and marketers understand public opinion and brand perception from tweets. You input raw tweet text, and it categorizes each tweet as positive, negative, or neutral sentiment. This allows you to quickly gauge reactions to events, products, or campaigns.
No commits in the last 6 months.
Use this if you need to automatically sort and understand the overall sentiment from a collection of tweets.
Not ideal if you require highly nuanced sentiment analysis beyond basic positive, negative, or neutral classifications, or if your data is not Twitter-based.
Stars
14
Forks
5
Language
Jupyter Notebook
License
GPL-3.0
Category
Last pushed
Dec 08, 2022
Commits (30d)
0
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