crazyuploader/IMDb_Top_50

Original Post: https://medium.com/@nishantsahoo/which-movie-should-i-watch-5c83a3c0f5b1

Language: Python - Size: 2.44 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 4 - Forks: 0

sangampaudel530/movie-review-sentiment-analyzer

A sentiment analysis web app powered by BERT, built with Streamlit. Classifies IMDb movie reviews as positive or negative with 93% accuracy.

Language: Jupyter Notebook - Size: 165 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

pranayshekhar01/bert-sentiment-analyzer

A sentiment analysis web app powered by BERT, built with Streamlit. Classifies IMDb movie reviews as positive or negative with 93% accuracy.

Language: Jupyter Notebook - Size: 162 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

amitdekate01/Sentiment_Analysis_RF

Built a Sentiment Analysis classifier using TF-IDF and Random Forest on IMDB reviews dataset with 85% accuracy. Handled preprocessing, feature engineering, model training and evaluation.

Language: Python - Size: 11.7 KB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Samuelson777/Sentiment-Analysis-on-Movie-Reviews

Sentiment analysis tool for movie reviews using machine learning. Classifies reviews as positive or negative with a Multinomial Naive Bayes classifier, leveraging the IMDb dataset for training and evaluation.

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

ssrishtix/IMDB-Sentiment

A comparative case study on stemming vs lemmatization using IMDb movie reviews, focusing on NLP preprocessing and vocabulary analysis.

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Avesay/actor-movie-network

Short project focused on understanding of network analysis and data processing.

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bandirevanth/FindFlim

An app which lets you discover new movies, and learn more about them!

Language: JavaScript - Size: 11.7 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 1 - Forks: 0

ourway/imdb-api

APIs for fetching basic movie information from IMDB.

Language: Elixir - Size: 34.2 KB - Last synced at: 26 days ago - Pushed at: over 5 years ago - Stars: 6 - Forks: 1

surfertas/deep_learning

Topics related to Deep Learning

Language: Jupyter Notebook - Size: 220 MB - Last synced at: about 9 hours ago - Pushed at: almost 2 years ago - Stars: 12 - Forks: 8

pushshift/imdb_to_json

Fetch movie data from IMDB and output in JSON format.

Language: Python - Size: 231 MB - Last synced at: 12 days ago - Pushed at: over 4 years ago - Stars: 10 - Forks: 0

Totto16/imdb-dataset-to-postgresql

IMDB Dataset to preseeded PostgreSQL converter

Language: C++ - Size: 225 KB - Last synced at: 29 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

VuBacktracking/mamba-text-classification

Text Classification using Mamba Model

Language: Python - Size: 22.5 KB - Last synced at: 22 days ago - Pushed at: 10 months ago - Stars: 22 - Forks: 7

RichmondDjwerter/Autoencoder-Based-Multi-Modal-Movie-Recommendation-System

This Multi-Modal Movie Recommendation System leverages a combination of structured numerical features and deep text embeddings to provide accurate and personalized movie recommendations. Unlike traditional recommender systems that rely solely on user ratings or metadata, this model integrates numerical attributes (such as popularity and ratings)

Language: Jupyter Notebook - Size: 61.5 KB - Last synced at: 30 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ikramagix/Allo_Chiner

🔎 Aren't you fed up with the Netflix recommendations that keep looping through the same shows you've already watched 100 times? Come check this!

Language: CSS - Size: 66.9 MB - Last synced at: 29 days ago - Pushed at: about 2 months ago - Stars: 7 - Forks: 0

git03-Nguyen/RAG-LLM Fork of slimedemon/RAG-LLM

A FastAPI service supports AI/LLM navigating, searching, and suggesting movies, actors within IMDb dataset. It is built using LangChain, LangGraph and utilizes prompt-engineering for LLM.

Language: Python - Size: 150 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

RaedAddala/Scraping-IMDB

This Python script extracts comprehensive movie data from IMDB, focusing on top-grossing movies from 1920 to 2025. The scraper collects detailed information including box office performance, cast & crew, awards, and other key metrics.

Language: Jupyter Notebook - Size: 48.3 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 4 - Forks: 2

icelaterdc/IMDb-Film-Analiz

IMDb verilerini toplayarak en popüler filmleri ve türleri analiz edip gösteren prototip bir web projesi.

Language: TypeScript - Size: 37.1 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 5 - Forks: 1

NishantkSingh0/Movie-review-classification

Used Transformer's Encoder to classify movie reviews. From scratch

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: about 1 month ago - Pushed at: 10 months ago - Stars: 3 - Forks: 0

erictleung/pixarfilms

:movie_camera: R data package to explore Pixar films, the people, and reception data

Language: R - Size: 1.52 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 20 - Forks: 4

kunalnagarco/imdb-scraper 📦

🎬 An attempt at the most complete IMDb API

Language: TypeScript - Size: 1.06 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 39 - Forks: 8

Ehiane/imdb-movie-sentiment-analysis

Movie Review Sentiment Analysis Using LSTMs. This project builds an LSTM-based neural network to classify IMDb movie reviews as positive or negative. It includes text preprocessing, word embeddings, and deep learning for sentiment analysis. Performance is evaluated using accuracy, precision, and recall. 🎬📊

Size: 5.86 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

shane-reaume/LLM-Finetuning-Sentiment-Analysis

A beginner-friendly project for fine-tuning, testing, and deploying language models for sentiment analysis with a strong emphasis on quality assurance and testing methodologies.

Language: HTML - Size: 603 KB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

anastasius21/IMDb-Movie-Analysis

Analysis of IMDb's Top 1000 Movies dataset using Pandas, Matplotlib, and Seaborn. It provides visualizations and insights into various aspects of movies, such as ratings, genres, directors, and release years.

Language: Jupyter Notebook - Size: 361 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

DadaNanjesha/IMDb-Movie-insights

This project aims to uncover insights into movie trends, ratings, genres, and other key features that influence box office success and audience reception.

Language: Python - Size: 227 KB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 1 - Forks: 0

DAN3002/IMDb-Crawler

A powerful Python-based web crawler that collects comprehensive movie information from IMDb using both GraphQL API and web scraping techniques. This tool can gather detailed movie data including basic information, reviews, and ratings for any type of movies based on customizable filters.

Language: Python - Size: 367 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

omerfarukeker/imdb_work

Exploratory analysis on the IMDB movie database

Language: Python - Size: 2.7 MB - Last synced at: about 1 month ago - Pushed at: about 5 years ago - Stars: 5 - Forks: 0

cho3ek89/Imdb

An application set for loading IMDb (Internet Movie Database) files to the SQLite database and presenting this data to the user.

Language: C# - Size: 1.79 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 1

VictoorV/movie_classif_lstm

Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

aymennasri/AnalyzingTheIMDBdataset

Full detailed data science report exploring the IMDB dataset.

Size: 204 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

FarrelAD/Text-Sentiment-Analysis

Simple model text sentiment analysis with IMDB dataset🎬and Logistic Regression algorithm 📈

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: about 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

roskakori/pimdb

build a database from IMDb datasets

Language: Python - Size: 221 KB - Last synced at: 5 days ago - Pushed at: 12 months ago - Stars: 8 - Forks: 1

arpanpramanik2003/sentiment-analysis-lstm

This project performs sentiment analysis on IMDB movie reviews using an LSTM deep learning model. It processes text data, trains an LSTM network to classify reviews as positive or negative, and provides a prediction function for user input. The project utilizes TensorFlow, Keras, and Pandas for model building and data handling.

Language: Jupyter Notebook - Size: 10.1 MB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Abdelrahman-Amen/Active_Learning_in_NLP

I applied active learning to the IMDB dataset for sentiment analysis. Starting with a small labeled subset, I trained a model and used uncertainty sampling to select and label challenging reviews. This iterative process improved performance while reducing labeling effort.

Language: Jupyter Notebook - Size: 733 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

YSayaovong/lights_camera_statistics

Welcome to the Lights, Camera, Statistics project! This repository is dedicated to exploring IMDb data through statistical and visual analysis. As a data enthusiast, I created this project to enhance my skills in data cleaning, exploration, and visualization while uncovering interesting insights about movies and their ratings.

Language: Jupyter Notebook - Size: 323 KB - Last synced at: about 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Abdelrahman-Amen/Sentiment_Analysis_using_LSTM_GRU

This project aims to perform sentiment analysis on the IMDB movie reviews dataset. Sentiment analysis involves classifying text into categories such as positive or negative based on the sentiment conveyed in the text , using LSTM and GRU.

Language: Jupyter Notebook - Size: 68.4 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Abdelrahman-Amen/Sentiment_Analysis_using_Supervised_Semi_supervised_and_Self_supervised_Learning

This project showcases a natural language processing (NLP) pipeline for sentiment analysis on the IMDB dataset. By combining self-supervised and semi-supervised learning approaches

Language: Jupyter Notebook - Size: 113 KB - Last synced at: about 1 month ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Hadj-messaoud-Mohamed-tahar/Analyse-des-avis-IMDB-avec-BERT

Ce projet utilise des techniques de traitement du langage naturel (NLP) pour analyser et classifier les avis du jeu de données IMDB en deux catégories : positives et négatives. La méthode principale repose sur le fine-tuning du modèle pré-entraîné BERT (Bidirectional Encoder Representations from Transformers).

Language: Jupyter Notebook - Size: 29.3 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

shubhamprajapati7748/CineReviewX

This project focuses on sentiment analysis of movie reviews using the IMDb dataset. The dataset consists of 50,000 movie reviews labeled as positive or negative. The main goal of this project is to develop models that can accurately classify the sentiment of movie reviews.

Language: Jupyter Notebook - Size: 14.1 MB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

oshinrathor/ML-NLP-Projects

This repository contains a collection of Machine Learning and NLP projects, including sentiment analysis with NLTK, text preprocessing, and deep learning models. It covers techniques like tokenization, stopword removal, lemmatization, rule-based analysis, and transformer models like BERT for practical NLP applications.

Language: Jupyter Notebook - Size: 117 KB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

M-Taghizadeh/flan-t5-base-imdb-text-classification

In this implementation, using the Flan T5 large language model, we performed the Text Classification task on the IMDB dataset and obtained a very good accuracy of 93%.

Language: Jupyter Notebook - Size: 42 KB - Last synced at: 4 days ago - Pushed at: about 2 years ago - Stars: 21 - Forks: 2

MeDjb10/ETL-Movies-Data-Warehouse--Analysis-Project

This project focuses on 400K movies, providing a comprehensive overview of the movie industry across various dimensions like genres, cast, directors, ratings, and more.

Language: Java - Size: 38.4 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

lekhanachowdary/toWatch-orNot Fork of nandini1799/toWatch-orNot

REEL INSIGHTS - This data visualization dashboard provides a comprehensive exploration of the film industry through various visualizations.

Language: Jupyter Notebook - Size: 24.4 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

dominiqueakinyemi/IMDb_Genre_Analysis

Data analytics project using Python to clean, analyze, and visualize the IMDb Non-Commercial Datasets

Language: Jupyter Notebook - Size: 4.12 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Megha1207/Sentiment-Analysis-on-IMDB-reviews-using-deep-learning-and-NLP

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

SatvikPraveen/RSVP_Case_Study

A comprehensive IMDB dataset analysis using SQL. Includes database setup, advanced queries, and actionable insights. Organized with files for database creation, queries, and solutions. Features an Entity-Relationship Diagram (ERD), executive summary, and SQL scripts. Perfect for SQL workflows and business intelligence in the film industry.

Size: 3.49 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

dhruvil-26/Python-Projects

This repository contains Python projects showcasing data analysis and visualization. 1. IMDB Movie Analysis: Analyzing movie trends, genres, and ratings. 2. Loan Default Analysis EDA: Exploring factors contributing to loan defaults.

Size: 1.72 MB - Last synced at: about 2 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Suchandra21/IMDB-analysis-using-python

Analysis using Python

Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

sminerport/IMDbSentimentClassifier

A sentiment analysis model trained on the IMDb Movie Reviews Dataset to classify reviews as positive or negative. This project uses a Bidirectional LSTM with GloVe embeddings, batch normalization, and regularization to improve accuracy and generalization. Includes data preprocessing, model training, and evaluation.

Language: Python - Size: 25 MB - Last synced at: 3 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

markalbrand56/DL-Laboratorio-5

Sentiment analysis with LSTM

Language: Jupyter Notebook - Size: 256 KB - Last synced at: 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

gopiashokan/IMDB-Movie-Analysis-with-PowerBI

Developed an interactive Power BI dashboard to analyze the factors influencing IMDB movie success. Statistical analysis of genres, language, duration, director, and budget, revealing impact on IMDB scores. Provided valuable insights to producers, directors, and investors for decision-making in the film industry.

Language: Jupyter Notebook - Size: 14.6 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 1

adamelkholyy/imdb-sentiment-analysis

Sentiment analysis for IMDB movie reviews research report investigating the following techniques: Multinomial and Guassian Naive Bayes, SVMs, BERT, SGD Logistic Regression, N-Grams, Stemming, TF-IDF and Stopword Removal

Language: Jupyter Notebook - Size: 3.43 MB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

windi-wulandari/sentiment-analysis-IMDB

This project analyzes sentiment from 50,000 IMDb movie reviews, aiming to enhance time and cost efficiency. The Naive Bayes model with TF-IDF yielded the best results, achieving up to 99% savings in time and cost, surpassing the initial goals.

Language: Jupyter Notebook - Size: 26.8 MB - Last synced at: about 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

madnight/imdb-series-chart

Visualize the IMDB rating of every episode for any TV series.

Language: JavaScript - Size: 9.21 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 25 - Forks: 1

DataScienceVibes/IMDB-SENTIMENT-ANALYSIS

Our goal is to predict based on reviews from random person whether the review is positive or negative.

Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 0

faisal-fida/Content-Based-Filtering-Model

This project implements a content-based filtering model for recommending movies. The model uses various features extracted from a dataset of the top 1000 movies from IMDb to compute similarities and recommend similar movies.

Language: Jupyter Notebook - Size: 195 KB - Last synced at: 3 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

YonghaoZhao722/distilbert-base-uncased-finetuning

This repository contains a DistilBERT model fine-tuned using the Hugging Face Transformers library on the IMDb movie review dataset. The model is trained for sentiment analysis, enabling the determination of sentiment polarity (positive or negative) within text reviews.

Language: Jupyter Notebook - Size: 372 KB - Last synced at: 5 months ago - Pushed at: over 1 year ago - Stars: 86 - Forks: 0

Trigenaris/IMDB_Top_250_Movies_Sorting

Sorting IMDB Top 250 movies while benefiting from two different datasets

Language: Jupyter Notebook - Size: 53.7 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

Winterwind/MovieReccomendationSystem

My personal summer project: a program that prompts the user to enter the desired genre(s) and keyword(s) and outputs a list of movies that matches that query; results print in terminal

Language: Python - Size: 35.2 KB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

messierandromeda/Sentiment-Analysis

Sentiment analysis with the IMDB movie review dataset.

Language: Jupyter Notebook - Size: 61.1 MB - Last synced at: about 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

nssharmaofficial/review-sentiment-classifier

Review classification in pytorch using LSTM

Language: Python - Size: 30.1 MB - Last synced at: 22 days ago - Pushed at: 8 months ago - Stars: 3 - Forks: 0

razamehar/Sentiment-Analysis-using-Deep-Learning---Machine-Learning

Sentiment analysis on the IMDB dataset using Bag of Words models (Unigram, Bigram, Trigram, Bigram with TF-IDF) and Sequence to Sequence models (one-hot vectors, word embeddings, pretrained embeddings like GloVe, and transformers with positional embeddings).

Language: Jupyter Notebook - Size: 282 KB - Last synced at: about 2 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

deepmancer/roberta-adapter-fine-tuning

Fine-tuning a RoBERTa model for sentiment analysis on the IMDB movie reviews dataset using the Adapter method and PyTorch Transformers

Language: Jupyter Notebook - Size: 156 KB - Last synced at: 7 months ago - Pushed at: 9 months ago - Stars: 4 - Forks: 0

blurred-machine/IMDB-Movies-Reviews-Classification-NLP

Research oriented, developing word embeddings for binary text-polarity classifier based on movie reviews using BoW, TF-IDF, n-Gram, Word2Vec, Doc2Vec, PV-DM, PV-DBOW and other NLP techniques.

Language: Jupyter Notebook - Size: 50.6 MB - Last synced at: 18 days ago - Pushed at: almost 5 years ago - Stars: 4 - Forks: 1

Jaiswal0786/MySQL-database-using-IMDb-dataset

This repository contains a project that involves creating and managing a MySQL database using the IMDb dataset. It includes scripts and instructions for setting up the database, importing the IMDb dataset, and performing various queries to extract meaningful insights from the data.

Language: Jupyter Notebook - Size: 1.08 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 1

vikhyatnegi/SQL---RSVP-Movies-Case-Study

RSVP Movies is an Indian film production company which has produced many super-hit movies. They have usually released movies for the Indian audience but for their next project, they are planning to release a movie for the global audience in 2022.

Size: 51.8 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

miladmofidi/IMDB-Dataset

Downloading, Caching And API Exposing For IMDB datasets

Language: Java - Size: 693 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

Akarshan-Jaiswal/Neural_Network_Architecture_Comparision

This projects aims at implementation and training of different orientations and types of Neural Networks with respect to Mathematical equations and problems ranging from a simple straight forward equation to a bit complex equations in nature too. Following a comparative study on how different architectures react with these problems.

Language: Jupyter Notebook - Size: 20.8 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

vaibhavmakhloga/Sentiment-Analysis-on-Movie-Reviews

NLTK project using SVC as classifier on '50K IMDB Movie Reviews' dataset.

Language: Jupyter Notebook - Size: 422 KB - Last synced at: 9 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

rishz09/web-app-sentiment-analysis

Simple web app to classify texts using Flask and HTML. Training of model done on IMDB movie reviews dataset, utilising Hashing Vectorizer.

Language: Jupyter Notebook - Size: 974 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

spragginsdesigns/movie-database-fetcher

Create a personalized movie database with user logins, watch lists, and extensive film details.

Language: HTML - Size: 521 KB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

gaurav104/TextClassification

Repository of state of the art text/documentation classification algorithms in Pytorch.

Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: 10 months ago - Pushed at: about 6 years ago - Stars: 11 - Forks: 2

Danishyousuf19/Decision-Tree-and-Random-Forest

This contains all the project in which i have used Decision Trees and Random Forest to Predict output

Language: Jupyter Notebook - Size: 8.17 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

amirR01/Moive-Search

A simple movie search engine using IMDB data and ElasticSearch.

Language: Python - Size: 10.6 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

rizkynhidayat/Web-Scraping-IMDb-Top-Chart-2024

Web scraping is a technique used to extract information from websites automatically using computer programs. This project aims to collect data from IMDb's Top 250 movies list, which is determined based on ratings from regular IMDb voters.

Language: Jupyter Notebook - Size: 296 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

iziplay/imdb-api

Synchronization of IMDB datasets with Postgres to provide a REST API

Language: Go - Size: 17.6 KB - Last synced at: 11 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 0

billylarsson/symbolic-duplicant-v2

Makes a folder with separated sorted symbolic links from a messy large download folder without moving the files (symbolic links is awesome)

Language: Python - Size: 125 KB - Last synced at: 11 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

jonathanrsmjtk/page_svm_imdb_review

Movie review sentiment analyzer using SVM and ReactJS. Uses FastAPI as API framework.

Language: Jupyter Notebook - Size: 78.6 MB - Last synced at: 11 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

drmenguin/imdb-watchlist-bookmarklet

A browser bookmark which randomly highlights a film to watch on the IMDb watchlist page.

Size: 688 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 1

Enviy/imdbGo

Simple, package for looking up IMDB movie data by title.

Language: Go - Size: 3.91 KB - Last synced at: 11 months ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 1

laura5043/IMDB-movies-Ranking

Dashboard of the top 1000 movies on IMDB (1920-2020)

Size: 663 KB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

ple30/IMDB-Movie-rating-classification

Language: Jupyter Notebook - Size: 5.31 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

hanesn/IMDB-Sentiment-Analysis

A deep learning model created to classify the movie reviews as positive or negative.

Language: Jupyter Notebook - Size: 124 MB - Last synced at: 5 days ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

thakurdiwakar/Movie-Recommendation-System

This Movie Recommendation System is a Python-based application that leverages machine learning and natural language processing techniques to provide movie recommendations based on user preferences and movie characteristics.

Language: Jupyter Notebook - Size: 13.7 KB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

tgchacko/Movie-Recommender

Movie Recommender

Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0

dakshtrehan/IMDB-sentiment-analysis-NN

Deep Learning

Language: Jupyter Notebook - Size: 1.54 MB - Last synced at: 12 months ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0

saeid436/LSTM-Sentiment-Analysis

Recurrent Neural Networks (RNN's) for sentiment analysis on IMDB dataset from keras....

Language: Python - Size: 3.91 KB - Last synced at: 12 months ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

vishen-shristy/RSVP-Movies

RSVP - Movies SQL queries performed on IMDb database to provide recommendations to RSVP Movies based on insights.

Size: 3.44 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

santhoshse7en/IMDb-Scrapy

A fun projects made using Scrapy. The Spiders included in this are able to extract Movie, TV-Series, TV-Movies based on year and title type. A lot more to come ahead

Language: Python - Size: 97.7 KB - Last synced at: 2 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 0

shefaliisharma/goodgrief

Analysis of IMDb datasets

Size: 354 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

Ipsy05/RSVP_Movies_SQL_Analysis

This Git repository features an SQL analysis project for RSVP Movies. It analyzes a dataset to provide insights for their global project releasing in 2022, covering box office performance, genre preferences, actor impact, and release timing. Aimed at delivering actionable recommendations.

Size: 3.48 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

leanerr/SQL_queries_IMDBdataset

Utilized optimized queries on a 1.5GB IMDB database to address project queries spanning 100 years of film data, effectively answering ten questions. Associated with the Shiraz University.

Size: 282 KB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

FHOOEAIST/neo4j-imdb

Creates a simple neo4j database based on the imdb dataset

Language: Java - Size: 30.3 KB - Last synced at: about 1 year ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0

hugomartinbjork/NLP-Sentiment-Analysis-Project

This project aims to improve NLP sentiment analysis through ensemble methods by proposing two simplified methods that combine BERT with VADER's VAD score. Inspired by Wang et al., the project seeks to increase performance in classifying the sentiment of IMDb reviews.

Language: Jupyter Notebook - Size: 25.3 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

HardiPalan/IMDB_Movie_Analysis

This project aims to carry out the in-depth analysis of IMDB movie dataset. Excel is used to draw insights and analyze to find genre, budget, director and more.

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purrvaja/NLP-Pipeline

NLP pre-processing steps with the IMDB dataset and prediction using classification algorithms

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talmago/simple-but-tough-to-beat-examples

Bunch of examples of a "Simple but tough to beat baseline for sentence embeddings" in classification tasks

Language: Python - Size: 33.2 KB - Last synced at: 22 days ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 6

AICrafter08/IMDB-Sentiment-Analysis

It offers an in-depth exploration into classifying IMDB movie reviews using machine learning and NLP techniques. It details steps from data preprocessing and feature extraction to model training with both classical and neural network approaches, aimed at predicting review sentiments.

Language: Jupyter Notebook - Size: 56.6 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

turbot/powerpipe-mod-imdb

Visualize IMDb movie ratings, budgets, box office performances, and more using Powerpipe and SQLite.

Language: HCL - Size: 883 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 3 - Forks: 0

ricardoasilva92/MovieQL

Movies ontology

Language: JavaScript - Size: 19.2 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0