sentimental-analysis

Chinese Sentiment Analysis 中文文本情感分析

Research project implementation for the ICAIF'21 publication and Master's Thesis. ITS-SentARL => Intelligent Trading Systems: A Sentiment-Aware Reinforcement Learning Approach

data, code, pre-trained models and experiment results for "SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering"

Natural Language Processing

Sentiment Analysis of product based reviews using Machine Learning Approaches. This is my Final Year B.Tech Project, 2018.

R and Data Files from my YouTube Channel

This project performed sentimental analysis based on opinion words (like good, bad, beautiful, wrong, best, awesome, etc) of selected opinion target ( like product name for amazon product reviews).

This script uses Python and Redis with Twitter API to run a fully automated twitter account.

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

Sentimental Analysis 👂

Build a Movie Reviews Sentiment Classifier with Google's BERT Language Model

Análisis de sentimientos y visualización de datos con R, de conversaciones de WhatsApp, segunda parte. Uso de librería rwhatsapp.

Arabic text documents classified using SVM, k-nn and Naive bayes classifers.

Sentiment Analysis and Figurative Language in French Tweets

Expanded KR-BERT for Sentiment Analysis

Academic project for Advances in Data Science and Architecture course

Labeled sentences from IMDb movie reviews

Sentiment analysis of all songs that entered the Billboard Hot 100 charts from 1958-2019

Sentiment Analysis is the automated process of analyzing text data and sorting it into sentiments positive, negative or neutral. With more than 321 million active users, sending a daily average of 500 million Tweets, Twitter allows businesses to reach a broad audience and connect with customers without intermediaries.

Master's Project