| kishan0725/AJAX-Movie-Recommendation-System-with-Sentiment-Analysis |
449 |
|
0 |
0 |
about 2 years ago |
0 |
|
13 |
|
Jupyter Notebook |
| A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user |
| e9t/nsmc |
259 |
|
0 |
0 |
about 9 years ago |
0 |
|
1 |
|
Python |
| Naver sentiment movie corpus |
| mesnilgr/iclr15 |
243 |
|
0 |
0 |
over 9 years ago |
0 |
|
2 |
|
TeX |
| Sentiment Analysis with Ensemble |
| rafacarrascosa/samr |
179 |
|
0 |
0 |
almost 8 years ago |
0 |
|
2 |
bsd-3-clause |
Python |
| An entry to kaggle's 'Sentiment Analysis on Movie Reviews' competition |
| acmi-lab/counterfactually-augmented-data |
107 |
|
0 |
0 |
almost 5 years ago |
0 |
|
1 |
apache-2.0 |
|
| Learning the Difference that Makes a Difference with Counterfactually-Augmented Data |
| RubixML/Sentiment |
85 |
|
0 |
0 |
about 3 years ago |
8 |
March 31, 2023 |
4 |
mit |
PHP |
| An example project using a feed-forward neural network for text sentiment classification trained with 25,000 movie reviews from the IMDB website. |
| DMinerJackie/JewelCrawler |
62 |
|
0 |
0 |
about 7 years ago |
0 |
|
2 |
gpl-3.0 |
Java |
| 豆瓣电影爬虫——a crawler which is able to crawl movie detail and short comments, save them to database mysql, also include Sentiment analysis based on comments |
| lukysummer/Movie-Review-Sentiment-Analysis-LSTM-Pytorch |
53 |
|
0 |
0 |
about 4 years ago |
0 |
|
5 |
|
Python |
| Classifying movie reviews as positive or negative using Word2Vec Embeddings & LSTM network |
| kinni/char-cnn-text-classification-tensorflow |
52 |
|
0 |
0 |
almost 9 years ago |
0 |
|
2 |
apache-2.0 |
Python |
| Simple Convolutional Neural Network (CNN) for sentiment classification of Chinese movie reviews. |
| Currie32/Movie-Reviews-Sentiment |
52 |
|
0 |
0 |
almost 8 years ago |
0 |
|
3 |
|
HTML |
| Used two different methods to predict the sentiment (positive or negative) of movie reviews. |
