dakshtrehan/IMDB-sentiment-analysis-NN

Deep Learning

Language: Jupyter Notebook - Size: 1.54 MB - Last synced: about 9 hours ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

darthdaenerys/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: about 9 hours ago - Pushed: about 20 hours 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: 1 day ago - Pushed: about 2 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: 6 days ago - Pushed: 6 days ago - Stars: 0 - Forks: 0

VuBacktracking/mamba-text-classification

Text Classification using Mamba Model

Language: Python - Size: 14.6 KB - Last synced: 11 days ago - Pushed: 11 days ago - Stars: 3 - Forks: 0

Siddhesh-Agarwal/IMDB-Sentiment-Analysis

IMDB Dataset for Sentiment Analysis

Language: Python - Size: 51.8 KB - Last synced: 13 days ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

polakowo/oscarobber

Network and sentiment analysis applied on the IMDB database

Language: Jupyter Notebook - Size: 21.2 MB - Last synced: 19 days ago - Pushed: almost 5 years ago - Stars: 2 - Forks: 1

aashrafh/bigtable

A simulation of a distributed system to apply the BigTable concepts

Language: JavaScript - Size: 83 KB - Last synced: 19 days ago - Pushed: almost 3 years ago - Stars: 0 - Forks: 0

shefaliisharma/goodgrief

Analysis of IMDb datasets

Size: 354 KB - Last synced: 21 days ago - Pushed: 21 days ago - Stars: 0 - Forks: 0

zyh040521/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: 23 days ago - Pushed: 5 months ago - Stars: 51 - 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: 29 days ago - Pushed: 29 days 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: 27 days ago - Pushed: almost 2 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: about 1 month ago - Pushed: over 2 years ago - Stars: 1 - Forks: 0

amirR01/Moive-Search

A simple movie search engine using IMDB data and ElasticSearch.

Language: Python - Size: 10.6 MB - Last synced: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - 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: about 1 month ago - Pushed: about 1 year 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.

Size: 2.33 MB - Last synced: about 1 month ago - Pushed: about 1 month 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: about 1 month ago - Pushed: about 1 month ago - Stars: 0 - Forks: 0

kunalnagarco/imdb-scraper 📦

🎬 An attempt at the most complete IMDb API

Language: TypeScript - Size: 1.06 MB - Last synced: 27 days ago - Pushed: 4 months ago - Stars: 34 - Forks: 7

purrvaja/NLP-Pipeline

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

Language: Jupyter Notebook - Size: 6.84 KB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

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: about 2 months ago - Pushed: about 2 months 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: about 1 month ago - Pushed: 3 months ago - Stars: 3 - Forks: 0

ricardoasilva92/MovieQL

Movies ontology

Language: JavaScript - Size: 19.2 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 4 - Forks: 0

SK7here/Movie-Review-Sentiment-Analysis

Sentiment of a movie review is predicted using three different neural network models - MLP, CNN and LSTM. GloVe embedding is used for vector representation of words.

Language: Python - Size: 24.8 MB - Last synced: about 2 months ago - Pushed: about 4 years ago - Stars: 2 - Forks: 3

expellialbus/IMDb-Reviews-Sentiment-Analysis

This project aims to classify Imdb reviews according to their sentiments by using a Bidirectional LSTM model.

Language: Python - Size: 163 MB - Last synced: about 2 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 1

RyanMarcus/imdb_pg_dataset

A Vagrant box that automatically loads the IMDB dataset into Postgres

Language: Shell - Size: 32.1 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 53 - Forks: 8

omerfarukeker/imdb_work

Exploratory analysis on the IMDB movie database

Language: Python - Size: 2.7 MB - Last synced: 2 months ago - Pushed: about 4 years ago - Stars: 5 - Forks: 0

Tanwar-12/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: 30 days ago - Pushed: 7 months ago - Stars: 2 - Forks: 0

ikramagic/Allo_Chiner

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

Language: CSS - Size: 65.8 MB - Last synced: 30 days ago - Pushed: 3 months ago - Stars: 1 - Forks: 0

karandeepbhardwaj/Data-Analysis-on-IMDB-Data-for-data-trends

Investigating imdb's Movie data over 20 years to get data trends among public

Language: Jupyter Notebook - Size: 11 MB - Last synced: 3 months ago - Pushed: over 3 years ago - Stars: 1 - Forks: 2

ritika-0111/Movie-Recommendation-on-IMDB-Dataset

Movie Recommendation - provides user with the top choices of movie he/she wanted to watch based on their current choice

Language: Jupyter Notebook - Size: 6.84 KB - Last synced: 3 months ago - Pushed: over 3 years ago - Stars: 2 - Forks: 1

Ruggero1912/mapreduce-bloom-filters

This project investigates how to build Bloom Filters using the MapReduce approach in Hadoop and Spark. Different implementations and further anlysis on performances are reported

Language: Jupyter Notebook - Size: 1.74 MB - Last synced: 13 days ago - Pushed: 3 months ago - Stars: 3 - Forks: 0

omerskoc/imdb-sentiment-analysis

This project aims to classify movie reviews from the IMDb dataset as positive or negative using sentiment analysis. The approach includes data preprocessing steps, such as cleaning and vectorizing the data, and trying out 11 different machine learning models.

Language: Jupyter Notebook - Size: 23 MB - Last synced: 3 months ago - Pushed: 3 months ago - Stars: 0 - Forks: 0

krishna-koly/IMDB_TOP_1000

Researched IMDB database to formulate SQL queries suitable for beginners

Language: Rich Text Format - Size: 192 KB - Last synced: 27 days ago - Pushed: 3 months ago - Stars: 0 - 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: 1.5 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 3 - Forks: 1

zembrodt/pymdb

Python package to both parse datsets provided by IMDb and scrape information from imdb.com

Language: Python - Size: 377 KB - Last synced: 28 days ago - Pushed: over 1 year ago - Stars: 6 - Forks: 0

aadimangla/IMDB-Movie-Reviews-Sentiment-Analysis

It analyses the movie review entered by a user for any specific movie and analyses what is the sentiment of the review. It helps the companies rate the movie and understand crowd sentiment regarding it. Sentiment analysis is a natural language processing problem where text is understood and the underlying intent is predicted.

Language: Jupyter Notebook - Size: 63.1 MB - Last synced: 4 months ago - Pushed: over 3 years ago - Stars: 4 - Forks: 0

lovesaroha/IMDB-Reviews-Sentiment-Analysis-Training

Training a keras model to recognize sentiment in order to classify an incoming movie review text as positive or the other.

Language: Python - Size: 13.7 KB - Last synced: 4 months ago - Pushed: over 2 years 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: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

omerfarukeker/IMDb-User-Data-EDA

Exploratory Data Analysis on an IMDb Member Data

Language: Jupyter Notebook - Size: 279 KB - Last synced: 4 months ago - Pushed: about 4 years ago - Stars: 1 - Forks: 1

omerfarukeker/EDA-on-IMDb-Tables

In this notebeook we will explore IMDb's dataset which is available online and refreshed daily.

Language: Jupyter Notebook - Size: 1.16 MB - Last synced: 4 months ago - Pushed: about 4 years ago - Stars: 1 - Forks: 1

saranggalada/IMDb-Review-Classification-with-Transformer

Using Transformer model to classify IMDb Reviews. Low-level implementation of data preprocessing and tokenization using keras_nlp library

Language: Jupyter Notebook - Size: 72.3 KB - Last synced: 2 months ago - Pushed: 2 months ago - Stars: 1 - Forks: 0

kvnchandra/sentiment-analysis-tfidf

Sentiment Analysis using TF-IDF and Neural Network usign Imdb Dataset

Language: Jupyter Notebook - Size: 131 KB - Last synced: 4 months ago - Pushed: over 4 years ago - Stars: 3 - Forks: 1

LazyDart/Statistics-with-R

Final Project for Statistics with R classes

Language: HTML - Size: 1.86 MB - Last synced: 4 months ago - Pushed: 4 months ago - Stars: 0 - Forks: 0

StepanTita/nano-BERT

Nano-BERT is a straightforward, lightweight and comprehensible custom implementation of BERT, inspired by the foundational "Attention is All You Need" paper. The primary objective of this project is to distill the essence of transformers by simplifying the complexities and unnecessary details.

Language: Jupyter Notebook - Size: 38.2 MB - Last synced: 4 months ago - Pushed: 7 months ago - Stars: 4 - Forks: 0

erictleung/pixarfilms

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

Language: R - Size: 1.78 MB - Last synced: 19 days ago - Pushed: 12 months ago - Stars: 16 - Forks: 4

shib1111111/MovieMaven

"MovieMaven" allows users to search for a movie by its title and displays various details about the movie, such as its rating, genres, plot, directors, cast, writers, production companies, box office gross ,budget and recommendations

Language: Python - Size: 355 KB - Last synced: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

mfitz/knacktorle

A solver for Actorle, the daily actor guessing game

Language: Python - Size: 1.08 MB - Last synced: 5 months ago - Pushed: 5 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: about 1 month ago - Pushed: 6 months ago - Stars: 24 - Forks: 1

uvijay/horrormovieanalysis

Exploratory Data Analysis on Horror Movies

Size: 694 KB - Last synced: 6 months ago - Pushed: almost 4 years ago - Stars: 0 - Forks: 0

cxtjjcz/701-project

The Use of Global Topic Information and Local Semantic Relationship in Sentiment Analysis

Size: 237 MB - Last synced: 6 months ago - Pushed: about 5 years ago - Stars: 2 - Forks: 0

vsoni555/IMDB-MOVIE-ANALYSIS- 📦

This project aims to carry out the in-depth analysis of IMDB movie dataset. SQL and Excel are used to draw insights,

Size: 3.49 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

AestheticVoyager/Text_Classification

Text Classification Using TensorFlow-Parsing through movie reviews from imdb. Machine Learning model that will allow us to extract sentiments from imdb.

Language: Python - Size: 6.84 KB - Last synced: 6 months ago - Pushed: about 2 years ago - Stars: 0 - Forks: 0

amogh2004/Analyse-Movie-Review

RNN to perform Sentiment Analysis on "full-text movie reviews"!

Language: Jupyter Notebook - Size: 8.79 KB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

emanuelemorales/Spark-Market-Basket-Analysis

Implementation of a-priori and SON algorithm on Spark.

Language: Jupyter Notebook - Size: 255 KB - Last synced: 7 months ago - Pushed: about 3 years ago - Stars: 1 - Forks: 0

jakeberggren/TDDE09-NLP-Sentiment-Analysis-Project

Project in the course TDDE09 – Natural Language Processing at Linköping University. The project aims to explore ensemble methods within sentiment analysis by combining BERT and VADER with the goal of increasing performance in classifying the sentiment of IMDb reviews.

Language: Jupyter Notebook - Size: 25.3 MB - Last synced: 7 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

FarhanaTeli/Sentiment_Analysis_IMDB

The comparison between different embeddings (TF-IDF, USE, and TF-IDF + USE) and various classifiers provides valuable insights into the performance of different techniques for sentiment classification.

Language: Jupyter Notebook - Size: 27.6 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

cyk1337/Machine-Learning-Practical

Machine Learning Practical 2017/18, lectured by Prof. Steve Renals

Size: 405 MB - Last synced: 7 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 0

nardyjh/steam_imdb_game_data_insights

Steam & IMDB Game Data Insights offers valuable data analysis for the gaming industry. Analyzing Steam and IMDB datasets, this project provides insights to assist game studios in making informed decisions.

Language: Jupyter Notebook - Size: 27 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

nsy2nv/model

A repository for deep neural network with different datasets

Language: Jupyter Notebook - Size: 18.6 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

uzaymacar/comparatively-finetuning-bert

Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in PyTorch.

Language: Python - Size: 113 KB - Last synced: 7 months ago - Pushed: almost 4 years ago - Stars: 112 - Forks: 28

m-popovic/imdb-corpus-for-MT

Size: 23.5 MB - Last synced: 7 months ago - Pushed: over 3 years ago - Stars: 2 - Forks: 1

Atharva500/imdbReviews

Language: Python - Size: 774 KB - Last synced: 7 months ago - Pushed: about 4 years ago - Stars: 0 - Forks: 0

arithescientist/hollywood_analysis

The goal of this research is to analyze data extracted from various movie database websites in order to come up with lucrative decisions

Language: Jupyter Notebook - Size: 62.1 MB - Last synced: 7 months ago - Pushed: almost 2 years ago - Stars: 1 - Forks: 0

course-dprep/MovieGenre_IMDbAnalysis

This repository aims to shed a light on the effect of movie genre on its IMDb popularity score.

Language: R - Size: 562 KB - Last synced: about 2 months ago - Pushed: 3 months ago - Stars: 4 - Forks: 0

course-dprep/Investigating-IMDB-data

Examining the effect of directors on the openinggross of movies, research by team 2.

Language: R - Size: 2.15 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 1

msuvorov7/capsule_network_clf

Analysis of capsule network performance for text classification (IMDB)

Language: Jupyter Notebook - Size: 227 KB - Last synced: 7 months ago - Pushed: 7 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: 19 days ago - Pushed: 8 months ago - Stars: 4 - Forks: 0

Tsaousis/Semantic-Web-Big-Data

NTUA ECE Knowledge Systems - Big Data Source Codes

Language: Jupyter Notebook - Size: 8.38 MB - Last synced: 7 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 1

ellapav/recurrent-neural-nets

Long-short term memory (LSTM) model applied to the IMDB dataset

Language: Jupyter Notebook - Size: 350 KB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

gwharris/MovieSentimentAnalysis

Final project for Natural Language Processing class.

Language: Jupyter Notebook - Size: 107 MB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

VinayLakshman/sentiment-analysis

This is the code for sentiment analysis for classification of positive and negative reviews, the dataset used here is IMDB movie reviews.

Language: Jupyter Notebook - Size: 26.5 MB - Last synced: 8 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 0

reshalfahsi/movie-review-sentiment-analysis

Movie Review Sentiment Analysis Using CNN and MLP

Language: Jupyter Notebook - Size: 17.3 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

devanshu3/Sentiment-Analysis-On-IMDB-Movies

Sentiment analysis is a technique for analysing a piece of text to determine the sentiment contained within it. It accomplishes this by combining machine learning and natural language processing (NLP).

Language: Jupyter Notebook - Size: 50.2 MB - Last synced: 4 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

yashu1wwww/Imdb-Movies-Ratings-Count-Search

IMDb movie ratings and their corresponding rating counts for movies in different languages. I'll be taking 20 movies as examples created using html,css & js

Language: HTML - Size: 32.2 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

shabisht/Movie-Counsel

Movie Counsel helps you to get tailored Movie/Series recommendation with an inbuilt Sentiment Analyzer Tool for Movie Reviews

Language: Python - Size: 46.7 MB - Last synced: about 1 month ago - Pushed: 3 months ago - Stars: 1 - Forks: 1

PanithanS/Movies-Recommendation-Systems-and-Personalization

Movies Recommendation Systems with Personalization

Language: Jupyter Notebook - Size: 152 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 0 - Forks: 0

Prabhiraj-P/IMDB

Language: Jupyter Notebook - Size: 1.51 MB - Last synced: 7 months ago - Pushed: 7 months ago - Stars: 0 - Forks: 0

Laetitia-Deken/Project_2_IMDB_Movies_Recommandations_WCS

Project 2 WCS - Training Data Analyst (5 weeks)

Language: Jupyter Notebook - Size: 9.85 MB - Last synced: 8 months ago - Pushed: about 2 years ago - Stars: 1 - Forks: 0

jeevandhakal/Sentiment-Analysis-with-Deep-Learning

Explore this deep learning model for sentiment analysis trained on IMDb Movie Reviews data. It uses GloVe word embeddings and LSTM layers to classify text as positive or negative. Perfect for text sentiment tasks!

Language: Python - Size: 21.1 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

mohinichandra/IMDB-Movie-Analysis

A case study done on the 1000 movies list For this project I have used dataset from kaggle 'IMDB-Movie-Data.csv'. It contains features like Title, Genre, Description, Director, Rating etc.

Language: Jupyter Notebook - Size: 377 KB - Last synced: 17 days ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

vedantpatil18/RSVP-Movies

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

Size: 3.59 MB - Last synced: 9 months ago - Pushed: 9 months ago - Stars: 0 - Forks: 0

yogeshwaran-shanmuganathan/Predictive-Movie-Analysis

Developing data warehouse and validating the facts for Predictive Movie Analytics.

Size: 6.36 MB - Last synced: 9 months ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0

xinhezhang/IMDb

IMDb Data Analysis for UCSD ECE180

Language: HTML - Size: 9.76 MB - Last synced: 9 months ago - Pushed: about 6 years ago - Stars: 0 - Forks: 1

y656/Movie-Recommender-Systems

Recommender systems

Language: Jupyter Notebook - Size: 1.28 MB - Last synced: 9 months ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 1

vimlord/IMDB-Naive-Bayes-Classifier

A program that predicts IMDB movie ratings using Naive Bayes given movie metadata.

Language: Python - Size: 21.5 KB - Last synced: 9 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 0

vishu-tyagi/Sentiment-Analysis-IMDB

Benchmark XGBoost against Large Language Models on IMDB 50K Movie Dataset

Language: Jupyter Notebook - Size: 18.7 MB - Last synced: 9 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

sunsikim/tf-spm-tokenizer-pattern

Tensorflow Model Incorporable Sentencepiece Tokenizer Training Code

Language: Python - Size: 19.5 KB - Last synced: 9 months ago - Pushed: almost 1 year ago - Stars: 0 - Forks: 0

sunsikim/tf-mlm-preprocess-pattern

Masked Language Model Task Implementation in Tensorflow2

Language: Python - Size: 27.3 KB - Last synced: 9 months ago - Pushed: almost 1 year ago - Stars: 0 - Forks: 0

sunsikim/hf-tokenizer-pattern

Huggingface Tokenizer Training Code

Language: Python - Size: 6.84 KB - Last synced: 9 months ago - Pushed: almost 1 year ago - Stars: 0 - Forks: 0

lcicek/imdb-binary-gcn

GCN model trained on the IMDB-BINARY dataset and a custom graph class to modify graphs in the dataset as well as explain and approximate the model.

Language: Python - Size: 1.32 MB - Last synced: 7 months ago - Pushed: 11 months ago - Stars: 0 - Forks: 0

prometheus42/TitleBabelFish

Translate movie titles into German.

Language: Python - Size: 10.7 KB - Last synced: 9 months ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

ayan-cs/sentiment-analysis-imdb

Using different Supervised Learning techniques with different settings of their hyperparameters to capture the sentiment from IMDb Movie Reviews dataset.

Language: Python - Size: 7.81 KB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

ayan-cs/logistic-regression-imdb

Sentiment analysis using 50,000 reviews taken from IMDb movie reviews. The classifier used is Logistic Regression and the Pipeline uses TFIDF-LR.

Language: Jupyter Notebook - Size: 5.86 KB - Last synced: 10 months ago - Pushed: over 2 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: 682 KB - Last synced: 10 months ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0

isadorasalles/Data-Science-IMDb

Language: Jupyter Notebook - Size: 6.46 MB - Last synced: 10 months ago - Pushed: over 4 years ago - Stars: 0 - Forks: 0

Themiscodes/NLP-Sentiment-Analysis

Development of deep learning models for sentiment analysis, including logistic regression, FNN, LSTM/GRU with attention, and BERT

Language: Jupyter Notebook - Size: 18.2 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

srikanth2102/IMDb_Data_Analysis

In this we make of publicly available data from IMDB to get insights from the data and also to get particular information about certain movies. We make you of SQL to query the data.

Size: 1.14 MB - Last synced: 10 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 0

vvaezian/IMDB-Ratings

Find top-rated movies, series and episodes

Language: SQL - Size: 258 KB - Last synced: 19 days ago - Pushed: over 1 year ago - Stars: 5 - Forks: 0

roshancharlie/Mini-Imdb-Application

This movie app is designed to provide movie information, recommendations, and analyze reviews.

Language: Jupyter Notebook - Size: 13.6 MB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 1 - Forks: 0

zekaouinoureddine/Opinion-Transformers

Analysis of the evolution of advanced transformer-based language models: experiments on opinion mining

Language: Jupyter Notebook - Size: 25.9 MB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 2 - Forks: 0