dimitreOliveira/Tweet-Sentiment-Extraction
:2nd_place_medal: (Silver medal - 60th place - Top 3%) Repository for the "Tweet Sentiment Extraction" Kaggle competition.
Quickly identify the exact words or phrases within a tweet that convey its overall sentiment, whether positive, negative, or neutral. You input a tweet and its determined sentiment, and the tool outputs the specific text span that best expresses that sentiment. This is ideal for social media analysts, brand managers, or market researchers.
No commits in the last 6 months.
Use this if you need to pinpoint the precise linguistic evidence for a tweet's sentiment to understand public opinion or brand perception.
Not ideal if you only need the overall sentiment (positive, negative, neutral) of a tweet, rather than the specific supporting text.
Stars
11
Forks
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Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jun 18, 2020
Commits (30d)
0
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