Natural language processing- classification of sentiment on twitter data

US 16 Elections, text and sentiment analysis from tweets on May 25th until May 27th 2016.

This is a implementation of the EMNLP 2014 paper by Y.Kim

Sentiment Analysis of TwItter Data using Naive Bayes Classifier

Sentiment analysis of 400,000 amazon reviews

Sentiment Analysis on Fake News and Amazon Products Reviews

In this project, a character level CNN is used to model sentiments of tweets. Furthermore, XAI techniques such as LayerWise Propagation method is applied to extract support phrases from the tweet as explanation for the model output.

Sentiment classification using fine-tuned BERT with PyTorch

Sentiment analysis is the interpretation and classification of emotions (positive, negative and neutral) within text data using text analysis techniques.

Deploy a DeepLearning(TF Hub) model using TensorFlow Serving and Docker

Sentiment Analysis of the Amazon Fine Food Review competition from Kaggle

Resources for sentiment analysis, sentiment classification, and emotions classification

The goal of this project is to construct a model for a given sentence and the label sentiment to predict what phrases in the sentence that best support the given sentiment.

Sentiment classification of shoppers' reviews using machine learning techniques.

An app based on the Syuzhet package and the NRC Word-Emotion Association Lexicon (aka EmoLex) to explore and analyze emotion in news columns related to a word of interest. It has support for several languages and countries.

Binary Sentiment Analysis model for classification of movie reviews

Movie Review Sentiment Analysis | Built in Flask and Deployed to Docker

PoliceSight is an open-source public monitoring system aimed to enhance the safety of the Indian pubic using NLP powered compliant detection system for twitter and Computer Vision assisted road accident detection and alerting.

Exploratory Data Analysis on tweets @dell and their sentiment analysis, coded in Data Spell IDE using Jupyter Notebook.

Twitter sentiment classification using multiple Scikit-learn models and PyTorch neural networks.