A python package for classifying emotion

NLP project on "The Silmarillion" by J.R.R. Tolkien. Text and sentiment analyses using NLTK, VADER, Text Blob, and NRC Emotion Lexicon.

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

Sentiment Analysis in Javascript using the various lexicons including AFINN-165, VADER, NRC Word-Emotion Association, Bing and Loughran-McDonald

this repo contains files for my analysis on disney land visitor reviews using NLP

Content-based +Emotion/Mood aware Music Recommendation system

This project uses machine learning to categorize and prioritize airline user tweets based on content and sentiment. The goal is to reduce airlines' workload and provide personalized, empathetic responses to users. By training a sentiment analysis model, airlines can better understand customers' needs and improve their overall service on Twitter.

Applications of NLP like Topic Modeling, Sentiment Analysis, Word Cloud along with Web Scraping.

Extract Video Game reviews from IGN's website using Beautiful Soup then apply Sentiment analysis using 3 pre-trained models including Hu and Lui, Vader and NRC

This project analyzes and compares the Wikipedia articles of Xi Jinping and Vladimir Putin over 20 years, uncovering differences in portrayal, sentiment, and biases to measure public perception of each leader.

A content based recommendation system for Taylor's recent albums

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

Analysis of public opinion of the COVID-19 vaccine on online social network (Twitter)

Sentiment Analysis on “HelloTalk” App Review Data with NRC Emotion Lexicon and GoEmotions Dataset

This project aims to understand the sentiment when a bit policy is introduced by the government. I have used Twitter data to do sentiment analysis using R.

Sentiment Analysis of the European Commission Report (2012, 2015, 2018) with Several Emotion Dictionaries and a ShinyDashboard

In the present day, the entertainment industry is constantly evolving toward making the most enjoyable and profitable sources of film entertainment. Through the use of movie rating sites, we can now decide whether or not it is worth the trip to the movie theatre to watch a partiuclar film. With this in mind, I wanted to explore what aspects of m…

Practical work framed and developed in the course of Environmental Intelligence : Technologies and Applications

AI Agent paired with the NRC Lexicon to preform sentiment analysis on highlighted text and aid user with rephrasing typed text

Empower your content moderation with the console based AI text filtering system. Seamlessly filter and flag inappropriate or harmful content with precision and efficiency.