Priberam/SentimentAnalysis
Sentiment Analysis: Deep Bi-LSTM+attention model
This project helps businesses understand the overall sentiment of text data, such as customer reviews, social media posts, or survey responses. You provide text inputs, and it classifies them as having a positive, negative, or neutral sentiment. This is ideal for customer relationship management professionals, marketing analysts, and social media managers who need to quickly gauge public opinion or customer satisfaction.
No commits in the last 6 months.
Use this if you need an automated way to classify individual messages or batches of text based on their emotional tone, without focusing on specific topics within the text.
Not ideal if you need to analyze sentiment towards specific entities or topics mentioned within a text, rather than just the overall message polarity.
Stars
45
Forks
13
Language
Python
License
—
Category
Last pushed
Jul 05, 2022
Commits (30d)
0
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curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Priberam/SentimentAnalysis"
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