Topic: "imbd-dataset"
sondosaabed/Palestinian-Movies-JSON-Dataset
Github allows me to call a JSON file like a server. So this is my raw data scrapped using apify (imdb-scrapper) 🇵🇸
Size: 44.9 KB - Last synced at: 13 days ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0
diegoperea20/Clasification-Reviews
The application will classify positively or negatively the review that is entered, you can use different models in total 4 that were used to preprocess and train with data from the IMBD dataset.
Language: Jupyter Notebook - Size: 48.2 MB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0
pranavbanga254/enhanced-sentiment-analysis
A unique sentiment analysis model on IMDB reviews with custom negation handling. Instead of generic preprocessing, it smartly tags words after negators like "not" (e.g., "not good" → "not_good"), preserving sentiment context. Comparison of models with and without this logic shows improved accuracy and real-world reliability.
Language: Python - Size: 8.79 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0
BlankCode0/YLMSR_implementation
Implementation of the the research paper DPO: your language model is secretly a reward model
Language: Python - Size: 45.9 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0
warda-tariqq/imdb-sentiment-analysis-lstm
Sentiment analysis on IMDB movie reviews using LSTM in TensorFlow
Language: Jupyter Notebook - Size: 40 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0
saqib-dev-404/netflix-clone
This is a Netflix clone built using ReactJS. It uses the TMDB API to fetch movies and display them. It also has a trailer feature which plays the trailer of the movie when clicked on the movie.
Language: JavaScript - Size: 74.2 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
