nrc-emotion-lexicon

A python package for classifying emotion

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• Python

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

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• Jupyter Notebook

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

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• R

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

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Content-based +Emotion/Mood aware Music Recommendation system

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• Jupyter Notebook

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

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

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• Jupyter Notebook

A Python-based pipeline for collecting Indian stock market news, mapping articles to NSE tickers, and performing FinBERT-based sentiment analysis with stock-wise trend visualization.

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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.

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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.

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• Jupyter Notebook

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

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A content based recommendation system for Taylor's recent albums

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• Jupyter Notebook

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

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• Jupyter Notebook

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

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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

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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…

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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.

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

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• R

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

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The system is implemented to scrape data from a booking website, perform Emotion Analysis on the reviews of the selected hotel and visualized the result over a time axis. R is used to implement the system and Shiny library is used to develop the Front-end.

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• R