MaartenGr/Reviewer
Tool for extracting and analyzing IMDB reviews
This tool helps movie analysts, marketers, or film buffs understand audience sentiment by scraping IMDB user reviews. It takes a movie's review page URL and generates word clouds of common terms or identifies popular characters and actors along with the sentiment expressed about them. The output helps users quickly grasp public perception and specific character reception.
No commits in the last 6 months.
Use this if you need to quickly extract and analyze public opinion about a movie and its characters from IMDB reviews.
Not ideal if you need to analyze reviews from platforms other than IMDB or require a deep, nuanced linguistic analysis beyond sentiment and entity recognition.
Stars
12
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 26, 2020
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/MaartenGr/Reviewer"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
IBM/MAX-Text-Sentiment-Classifier
Detect the sentiment captured in short pieces of text
pabitralenka/Customer-Feedback-Analysis
Multi Class Text (Feedback) Classification using CNN, GRU Network and pre trained Word2Vec...
giuseppebonaccorso/twitter_sentiment_analysis_word2vec_convnet
Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network
danielegrattarola/twitter-sentiment-cnn
An implementation in TensorFlow of a convolutional neural network (CNN) to perform sentiment...
hpanwar08/sentiment-analysis-torchtext
Seniment Analysis in Torchtext