bentrevett/pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

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FreedomIntelligence/TextClassificationBenchmark

A Benchmark of Text Classification in PyTorch

Language: Python - Size: 1.76 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 602 - Forks: 137

RayanWang/Speech_emotion_recognition_BLSTM

Bidirectional LSTM network for speech emotion recognition.

Language: Python - Size: 70.3 KB - Last synced at: about 1 year ago - Pushed at: about 6 years ago - Stars: 257 - Forks: 76

clairett/pytorch-sentiment-classification

LSTM and CNN sentiment analysis

Language: Python - Size: 390 KB - Last synced at: over 1 year ago - Pushed at: about 7 years ago - Stars: 149 - Forks: 63

MuhammedBuyukkinaci/TensorFlow-Sentiment-Analysis-on-Amazon-Reviews-Data

Implementing different RNN models (LSTM,GRU) & Convolution models (Conv1D, Conv2D) on a subset of Amazon Reviews data with TensorFlow on Python 3. A sentiment analysis project.

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alaBay94/Sentiment-analysis-amazon-Products-Reviews

NLP with NLTK for Sentiment analysis amazon Products Reviews

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tatwan/AI-for-Trading

Artificial Intelligence for Trading Nanodegree Projects

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NarendraYSF/LSTMEmotion-Sentiment-Analytics

An LSTM-based sentiment analysis model for classifying text emotions. Built with deep learning techniques to accurately detect and predict sentiment in text data.

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HumanSignal/brand-sentiment-analysis 📦

Scripts utilizing Heartex platform to build brand sentiment analysis from the news

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dvgodoy/YelpDatasetChallenge

Restaurant recommendations and review text-based quality predictions

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KwokHing/SentimentAnalysis-Python-Demo

Submission of an in-class NLP sentiment analysis competition held at Microsoft AI Singapore group. This submission entry explores the performance of both lexicon & machine-learning based models

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badripatro/Visual_Question_Generation

Torch code for Visual Question Generation

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vaasu2002/Natural-Language-Processing

This repository contains my notes and codes which I will refer in future projects

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camara94/natural-language-processing-tensorflow

Natural Language processing in tensorflow

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StatguyUser/Amazon-Review-Classification_DeepLearning

Classification model using LSTM Bidirectional model of Amazon review data from kaggle data https://www.kaggle.com/bittlingmayer/amazonreviews

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aaaastark/False-Data-Injection-Attack

False Data Injection Attack (FDIA) with Long Sort Term Memory (LSTM) Model using Python

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VuBacktracking/Deep-Neural-Network-Vietnamese-Student-Feedback-Sentiment-Analysis

Vietnamese Student Feedback Sentiment Analysis

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SannyZhou/WURAE_Paraphrase_Identification_CNN_LSTM

Project of Paraphrase Identification Based on Weighted URAE, Unit Similarity and Context Correlation Feature

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arunarn2/CharacterModelswithRNN-LSTM

Character level recurrent neural networks for Sentiment Analysis

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rizkyyanuark/Sentiment-Analysis-KIPK-based-Tweets-from-X

Proyek ini menganalisis sentimen terkait penerima KIPK berdasarkan cuitan X, untuk mengetahui distribusi penerima di perguruan tinggi.

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MLH-Fellowship/0.1.2-sentiment-analysis-visualization

Machine Learning Web Application. Helps to visualize a character-by-character breakdown of how sentiment analysis classifies text

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swap-253/Twitter-US-Airline-Sentiment-Analysis

In this repository I have utilised 6 different NLP Models to predict the sentiments of the user as per the twitter reviews on airline. The dataset is Twitter US Airline Sentiment. The best models each from ML and DL have been deployed. It employs text preprocessing,

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xoire/Forecasting-Stock-Price

Forecasting Stock Price (Independent Capstone project)

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ajwdd/StockEval

📈 Suite of a stock price forecaster and a sentiment analysis program built to provide in-depth visualizations, high accuracy, and low resource usage.

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kritanjalijain/Twitter_Sentiment_Analysis

An approach for unimodal sentiment analysis behind social media conversations using NLP and Deep Learning.

Language: Python - Size: 16 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 3 - Forks: 2

laisouzalves/twitter-covid19br

Scikit-Learn & Keras LSTM | Projeto voluntário de análise de sentimentos dos tweets da quarentena | Python

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aminaghoul/sentiment-analysis

Sentiment analysis - Pytorch

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anishacharya/NLP-CS388-UT

Common Libraries developed in "PyTorch" for different NLP tasks. Sentiment Analysis, NER, LSTM-CRF, CRF, Semantic Parsing

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niravnb/Deep-learning-projects

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kunaladarsh/Machince-Learning-Using-Python

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jackshendrikov/sentimento

NLP with LSTM for Sentiment Analysis of English texts

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sweta-kesur-nlp-playground/nlp-play1-movie-reviews

Real time application of Sentiment Analysis on Movie Reviews. A Machine Learning Flask App hosted on Heroku and created on Google Colab. https://swetakesurnlp-playground.herokuapp.com

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ahmedshahriar/Sentiment-Analysis

Sentiment Analysis Projects

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atifc2/Sentiment-Analysis-of-Unsupervised-Data

Sentiment Analysis of Books and Its impact on children using Deep Learning

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nargesam/Twitter-Sentiment-Analysis-NN

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anjanatiha/Twitter-US-Airline-Sentiment

Twitter data on US Airlines Sentiment Analysis with Deep Learning (LSTM and CNN)

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aayushkumarjvs/Next-Tech-Reads

Personalized book recommendation system for a user.Similar to Goodreads.

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zsh811/A-Comparative-Study-of-Sentiment-Analysis-Techniques-in-AI

This project compares the performance of three sentiment analysis techniques: Multilayer Perceptron (MLP), Long Short-Term Memory (LSTM), and Logistic Regression. The models are trained and evaluated on a Twitter dataset, and their performance is optimized using a Genetic Algorithm.

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Desloo/Stock_Analyzer

Stock Analysis PC is a desktop application built with Python and Tkinter for stock prediction.

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Suraj-Sedai/LSTM-Deep-Learning

A step-by-step guide to mastering sequence prediction using TensorFlow and LSTM. This repository covers everything from basic linear predictions to advanced multi-step forecasting, many-to-many LSTM models, and real-world applications like stock price forecasting and sales prediction.

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immanuvelprathap/LSTM-Sentiment-Analysis---AmazonReviews-Dataset

AmazonReviewsRatings - LSTM -Sentiment Analysis - Please find the Amazon Dataset in the below URL.

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Chthanh/Sentiment-Analysis-for-Financial-News

For learning and getting experiences

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Juwono136/indonesia-negative-comment-lstm

Sentiment Analysis of Indonesian Negative Comments on Social Media Using Long Short-Term Memory (LSTM)

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pyserve/Sentiment-Analysis-on-Twitter-Dataset

LSTM Model based Twitter Text Emotions Analysis

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Aveiro11/Classifying-Posts-from-Social-Media

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Pareek-Yash/Sentiment-Analysis-using-Twitter-Dataset

Performing Sentiment Analysis of tweets using LSTM

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dilettagoglia/BiBiNET

💬A Gated Recurrent Neural Network for Supervised Text Classification: detecting hate speech from different online textual genres.

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ZohaibRamzan/Sentiment-Analysis-using-LSTM-tensorflow

In this implementation, i have done sentiment analysis of Movies reviews from imdb dataset with LSTM using Keras API of Tensorflow.

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letstryy/Sentiment-score-prediction

Try sentiment score prediction :p

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krpiyush5/Deep-Learning-

Multi Level Perceptron, Convolutional Neural networks, Recurrent Neural Networks using Keras and Tensorflow

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Surya-Prakash-Reddy/Movie-Review-Classification

Classifies the movie reviews as positive or negative using LSTM Networks

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pranaya-mathur/Sentiment-Classification

Implemented Machine Learning Models on Amazon Fine Food Reviews Data Set

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Seyha1007/Amazon-Reviews-Analysis

🧐 This project analyzes Amazon Fine Food Reviews to investigate whether negative reviews are more emotionally intense and lexically repetitive than positive ones. Using R, we apply sentiment analysis and lexical diversity metrics to uncover patterns in consumer review language.

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Huzyy/Sequential-Learning-Neural-Networks

Implementing Sequential Learning, specifically RNN and LSTM algorithms using TensorFlow/Keras to compare the different algorithms for sequence learning. Comparison analysis of a simple RNN and LSTM.

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a4archit/fake-news-detector

This is a Deep LSTM Model that able to detect fake news with an accuracy of 91.29%. Point to Remember that, In this model there is no any proper NLP Pipeline is used.

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PhanChenh/SentimentAnalysis_Restaurant_NLPproject

Sentiment Analysis of Restaurant Reviews to Enhance Customer Experience and Optimize Operations

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mr-ravin/cerebral-rnn-experimental-results 📦

This repository contains experimental results and the comparitive study and implementation of Cerebral LSTM.

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manai008/sentiment-analysis

A real-time sentiment analysis platform leveraging deep learning and NLP techniques to classify text into multiple sentiment categories.

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VictoorV/movie_classif_lstm

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bhanuchandrika99/NeuralNetwork-DeepLearning

University of Central Missouri: Spring 2024: CS5720: Neural Network Deep Learning: In Class Programming Assignments

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SahilBarbade1203/Generative_AI_and_Large_Language_Models Fork of Sdmr12012003/Generative_AI_and_Large_Language_Models

Institute Technical Summer Project -23/24

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HzRisho/AbunisSpeechRecognition 📦

Speech recognition project that can, recognize the Arabic language, differentiate between speakers, isolate the speech, and more.

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bhanuchandrika99/NNDL_ICP_9

Spring 2024: CS5720: Neural Network Deep Learning: In Class Programming Assignment-9

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Kleo-Karap/Artifficial_Intelligence_2

Sentiment classification: From ML to DL to very DL models

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aniruddhochat/Text-Shield-Offensive-Text-Detection

Text-Shield-Offensive-Text-Detection

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Kleo-Karap/Deep-Learning-for-NLP

Small NLP projects with Deep Learning techniques

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M0hammadrezaShakouri/Sentiment-Analysis

The project is about sentiment analysis regarding the challenges of each major airline company in the United States, by Using Twitter US Airline database

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AjNavneet/LSTM_AppReview_RatingClassifier

Text classifier to classify app reviews on a scale of 1 to 5 using LSTM.

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AjNavneet/CustomerComplaints_TextClassification_RNN_LSTM

RNN and LSTM based text classification model on a dataset of customer complaints about consumer financial products.

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patrikasvanagas/Bi-LSTM-Glove-Sentiment-Classification

End-to-end review sentiment classification with text preprocessing, Bidirectional Long Short-Term Memory networks and Glove embeddings.

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shivamverma26/Sentiment-Analysis-with-LSTM

This project harnesses the power of LSTM and Keras, with TensorFlow as the backend, to conduct sentiment analysis on IMDB movie reviews. It effectively categorizes the reviews into positive or negative sentiments, offering valuable insights into the world of text analysis.

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idastani7/Snappfood-Persian-Sentiment-Analysis

Analysing Snappfood comments with Bidirectional LSTM (BiLSTM)

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JeCase/Thesis_SentimentAnalysis_IndoBERTweet_LSTM

Sentiment Analysis of Indonesian TikTok Review Using LSTM and IndoBERTweet Algorithm

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Asirwad/Sentiment-Analysis-for-Movie-reviews-using-LSTM-RNNs

🍿 Analyze movie 🎥 reviews with LSTM RNN to uncover audience 😄 sentiments and 🎯 ratings using the IMDB dataset.🎬

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super-m-a-n/covid19-vaccine-tweets-sentiment-analysis

Deep learning methods for sentiment analysis classification of covid-19 vaccination tweets

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grupoudea/twitter-sentiment-analysis-api

REST API para exponer modelo de red reuronal recurrente (LSTM) para analisis de sentimientos usando base de datos de twitter

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PradeepP13/Data_Science_portfolio

My data science portfolio featuring completed projects for academic, self-learning, and hobby purposes. Includes detailed descriptions of data analysis, visualization, machine learning, and deep learning projects such as predicting customer churn, analyzing social media sentiment, and detecting fraud in financial transactions,etc

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ahelii16/SmartEmailTracker

Flask application for task classification of incoming emails, PDFs and images.

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darian-catalin-cucer/long-short-term-memory

Long Short-Term Memory (LSTM) is a type of Recurrent Neural Network (RNN) that is capable of remembering long-term dependencies in sequential data by using memory cells, gates, and a hidden state to control the flow of information. It is widely used in time series analysis, natural language processing, and other tasks.

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darian-catalin-cucer/LSTM

LSTM (Long Short-Term Memory) is a type of recurrent neural network used for processing sequential data. It has the ability to store and access information over a longer period of time, allowing it to handle tasks such as language modeling, speech recognition, and sequence prediction.

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safwanshamsir99/Customer-Campaign-Prediction

Trained over 30,000 data to predict the outcome of the subscription by customer.

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cristianokunas/Sentiment_Analysis

Rede Neural Artificial para análise de sentimentos em sentenças em língua inglesa. A Rede Neural Artificial Recursiva Long Short-Term Memory foi implementada para o treinamento do modelo de análise. Com a aplicação da RNA desenvolvida sobre uma base de dados pública com 50.000 registros de filmes usando GPU foi possível reduzir o tempo de treinamento das RNAs em até 91,8% e aumentar a acurácia para 87,7%.

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rohitkumark1499/sentiment_analysis

The repository contains sentiment analysis code where it used to find the sentiment of the given sentence and classify weather its a positive or negative or neutral

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mmsaki/lstm-Stock-Predictor

Using deep learning recurrent neural networks to model bitcoin closing prices. One model will use the FNG indicators to predict the closing price while the second model will use a window of closing prices to predict the nth closing price.

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3ZadeSSG/Minor-Project-Sentiment-Analysis

Minor Project - Sentiment Analysis Model

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SparshBohra/Toxicity-Finder

Toxicity Flagging API built on top of an LSTM model using Flask

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LarryLoveIV/Capstone-II Fork of jasonli19/Capstone-II

Sentiment Analysis with IMDB Movie Reviews

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tooth2/Sentiment-Analysis

Sentiment Analysis : PyTorch Implementation, Tensorflow Keras Implementation

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BinaryChrisEntropy/SST5

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ahelii16/Text-Emotion-Detection

Emotion analysis with GloVe embeddings

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gt0410/NLP_Sentiment_Analysis

An LSTM model is trained in this project to identify the sentiment of a given review. Flask is used along with gunicorn to develop a web application that gives the sentiment of the user review. Docker and Kubernetes are used in the Google Cloud Platform to deploy and scale the model.

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LelandYan/rain_forcast

the model for weather

Language: Python - Size: 950 KB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

JamesHujy/Sentimental-Classification

Assignment of Introduction to Artificial Intelligence

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sebastienlange/sentiment-analysis-sagemaker-deployment

Machine Learning Deployment using AWS SageMaker

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arturops/deep-learning Fork of udacity/deep-learning

Deep Learning practice projects and tutorials. Forked from the Deep Learning Nanodegree Foundations program at Udacity.

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