ngoquanghuy99/Sentiment-classification-of-Amazon-fine-food-reviews
A deep learning model (Bidirectional LSTM) using pretrained word embeddings to do sentiment analysis on Amazon fine food reviews dataset.
This tool helps you quickly understand the sentiment of customer reviews or product feedback. You input text like a customer's comment about a food item, and it tells you if the sentiment is positive or negative. It's ideal for market researchers, product managers, or customer support teams who need to gauge public opinion from large volumes of text.
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Use this if you need to automatically categorize customer reviews, social media comments, or survey responses as either positive or negative.
Not ideal if you require nuanced sentiment detection beyond simple positive/negative, or if your text data is not in English.
Stars
19
Forks
4
Language
Python
License
MIT
Category
Last pushed
Dec 05, 2020
Commits (30d)
0
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