siliconsagenerd/NLP_Movie_Reviews
NLP sentiment classifier trained on 50,000 IMDb movie reviews using TF-IDF and Multinomial Naive Bayes. Achieves 84% test accuracy on the Stanford IMDb dataset with lemmatization-based text preprocessing.
Stars
—
Forks
—
Language
Python
License
—
Category
Last pushed
Feb 24, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/siliconsagenerd/NLP_Movie_Reviews"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
WLXie-Tony/Movie_Review_Analysis
Official replication package for IJFE (2026). Asynchronous ETL pipeline using GPT-4o to quantify...
BeiCunNan/Sentiment_Analysis_Imdb
Using Bert/Roberta + LSTM/GRU/BiLSTM/TextCNN to do the sentiment analysis on the imdb datasets.
prakharchoudhary/SentimentAnalysis
A Sentimental Analysis model trained on IMDb dataset, using Bag of words model(tokenisation)
SkyThonk/Movie-Reviews-Sentiment-Analysis
Sentiment Analysis of Movie Reviews is either positive or negative review, the dataset which is...
farisology/SentimentAnalysis
Sentiment Analysis model using Linear SVM and collection of Tweets about Star Wars Rogue One Movie