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#

nrc-emotion-lexicon

Here are 23 public repositories matching this topic...

A python package for classifying emotion

  • UpdatedOct 20, 2020
  • Python

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

  • UpdatedJan 17, 2020
  • Jupyter Notebook

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

  • UpdatedOct 24, 2022
  • JavaScript

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

  • UpdatedOct 12, 2020
  • Jupyter Notebook

Content-based +Emotion/Mood aware Music Recommendation system

  • UpdatedFeb 20, 2021
  • Jupyter Notebook

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.

  • UpdatedApr 11, 2022
  • HTML
Web-Scrape-IGN-Reviews-Sentiment

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

  • UpdatedSep 5, 2021
  • Python

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.

  • UpdatedOct 28, 2024
  • Jupyter Notebook

A content based recommendation system for Taylor's recent albums

  • UpdatedJun 16, 2021
  • Jupyter Notebook

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

  • UpdatedApr 21, 2022
  • HTML

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

  • UpdatedMay 3, 2022
  • Jupyter Notebook

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

  • UpdatedSep 30, 2024
  • Jupyter Notebook

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…

  • UpdatedSep 21, 2020
  • Python

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

  • UpdatedMar 26, 2021
  • R

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.

  • UpdatedMar 28, 2021

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

  • UpdatedJul 27, 2021
  • Java

Programming for Social Science, 2021

  • UpdatedJan 13, 2022
  • Jupyter Notebook

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

  • UpdatedApr 25, 2025

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