lstm-sentiment-analysis

Classifying-Posts-from-Social-Media

Twitter-Sentiment-Analysis

Twitter Sentiment Analysis Using Bidirectional-LSTM Model

Sentiment-Analysis

Sentiment Analysis Projects

sentimento

NLP with LSTM for Sentiment Analysis of English texts

Sentiment-Analysis-of-Amazon-Fine-Food-Reviews-using-LSTM

Sentiment Analysis of Amazon Fine Food Reviews using LSTM

Sentiment-Analysis-of-Unsupervised-Data

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

Using-LSTM-network-for-Sentiment-Analysis

Using Long Short Term Memory Model and Recursive Neural Network for Sentiment Analysis to use in the automated therapeutic app as an input to read intent of user in Google's cloud natural language processing service 'dialogflow' and on that basis we provide low cost therapy

Sentiment-score-prediction

Try sentiment score prediction :p

Twitter-US-Airline-Sentiment

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

Next-Tech-Reads

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

Emojifier

Predicts emojis based on sentiment and meaning of sentences using LSTM and Glove algorithm

Artifficial_Intelligence_2

Sentiment classification: From ML to DL to very DL models

LSTM-AppReview-Rating-Classifier

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

indonesia-negative-comment-lstm

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

Sentiment-Analysis-on-Twitter-Dataset

LSTM Model based Twitter Text Emotions Analysis

BiBiNET

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

cmpt733-project

Developed an Automated Twitter Response Tool for a focus in airline complaints using Kafka Streaming, LSTM, LDA, NRC Lexicon, and made analysis reports by using dataprep.ai

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

Sentiment-Analysis-for-Financial-News

For learning and getting experiences

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.

Deep-Learning-

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

Sentiment-Classification

Implemented Machine Learning Models on Amazon Fine Food Reviews Data Set

Movie-Review-Classification

Classifies the movie reviews as positive or negative using LSTM Networks

Emojify

Generating emojis corresponding to text

toxic_comment_classification

online comments' toxicity classification by deep learning models

Sentiment-Analysis

Model can classify speech into Positive, Neutral and Negative with there probabilities.

Generative_AI_and_Large_Language_Models

Institute Technical Summer Project -23/24

AbunisSpeechRecognition

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

NLP

Sentiment analysis models using NLP and other important basics of NLP and subwords and a song lyric generator!

Text-Shield-Offensive-Text-Detection

Text-Shield-Offensive-Text-Detection

NeuralNetwork-DeepLearning

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

Deep-Learning-for-NLP

Small NLP projects with Deep Learning techniques

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

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.

Customer-Complaints-Text-Classification-RNN-LSTM

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