An NLP Exploration in Video Game Analytics for Decoding Retail Sentiments

python scripts for text mining

Sentiment Analyzer - infer sentiment in texts in English or Portuguese

In this repo, I am analyzing rule based sentiment analysis systems and ML based sentiment analysis systems. Rule Based Sentiment Analysis systems will include VADER and Sentiwordnet and the ML Based system will include Naive Bayes Classifier algorithm.

Polarized Text Editor using SentiWordNet 3 and Java

Sentiment analysis on three different datasets using Lexicon and Rule-based sentiment analysis tools

Unsupervised sentiment analysis on GitHub data using PySpark

elementary sentiment analysis, sentiwordnet extension and dictionary building

Collection of NLP utility code

résumé automatique de texte oriente vers la prévention, l’éradication et détection des maladies ravageuses déclenchées sur les réseaux sociaux (twitter) cas de l’ebola , meningite et malaria

I performed sentiment analysis aimed at determining the sentiment of 50000 imDB movie reviews, whether they are positive, negative, or neutral. I employed various NLP approaches including lexicon based approaches, machine learning models, PLM models, and hybrid models, and assessed the performance on each type of model.

"ProLyzer" is a system which will guide you about the product you want to buy and also help the manufacturer/sellers to know the public opinion about their product's features.

Sentiment analysis with dependency tree.

Sentiment Analysis

Implementation of opinion mining on Kaggle IMDB dataset and Stanford Large Movie Review Dataset

Sentiment Analysis and Topic Modeling on COVID-19 Vaccine Tweets

DL, ML, and Rule based approaches for Sentiment analysis

For UCI-ISURF project

💬 Sentiment analyzer library using SentiWordnet in Go