Imdb Movie Review Analysis Using Nlp
Imdb Movie Review Analysis Using Nlp
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Attention Networks For Classification | 477 | 4 years ago | 8 | Jupyter Notebook | ||||||
| Hierarchical Attention Networks for Document Classification in PyTorch | ||||||||||
| Nsc | 280 | 6 years ago | 6 | mit | Python | |||||
| Neural Sentiment Classification | ||||||||||
| Pytorch Nlp Notebooks | 199 | 4 years ago | 1 | Jupyter Notebook | ||||||
| Learn how to use PyTorch to solve some common NLP problems with deep learning. | ||||||||||
| Prenlp | 105 | 4 years ago | 15 | August 15, 2020 | apache-2.0 | Python | ||||
| Preprocessing Library for Natural Language Processing | ||||||||||
| Cnn Text Classification | 101 | 3 years ago | Jupyter Notebook | |||||||
| Text classification with Convolution Neural Networks on Yelp, IMDB & sentence polarity dataset v1.0 | ||||||||||
| Sentiment | 85 | a year 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. | ||||||||||
| Capsnet Nlp | 64 | 5 years ago | 1 | agpl-3.0 | Python | |||||
| CapsNet for NLP | ||||||||||
| Topic Rnn | 47 | 5 years ago | 3 | apache-2.0 | Python | |||||
| Implementation (in progress) of Dieng et al.'s TopicRNN: a neural topic model & RNN hybrid. | ||||||||||
| Ai Sentiment Analysis On Imdb Dataset | 40 | 7 years ago | 1 | Python | ||||||
| Sentiment Analysis using Stochastic Gradient Descent on 50,000 Movie Reviews Compiled from the IMDB Dataset | ||||||||||
| Movie Recommendation Chatbot | 35 | 4 months ago | mit | Jupyter Notebook | ||||||
| Movie Recommendation Chatbot provides information about a movie like plot, genre, revenue, budget, imdb rating, imdb links, etc. The model was trained with Kaggle’s movies metadata dataset. To give a recommendation of similar movies, Cosine Similarity and TFID vectorizer were used. Slack API was used to provide a Front End for the chatbot. IBM Watson was used to link the Python code for Natural Language Processing with the front end hosted on Slack API. Libraries like nltk, sklearn, pandas and nlp were used to perform Natural Language Processing and cater to user queries and responses. | ||||||||||
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Jupyter Notebook
Natural Language Processing
Imdb
Random Forest
Nlp Library