nrc-emotion-lexicon
There are 0 repository under nrc-emotion-lexicon topic.
- Language:Python 19
cosmoduende / r-whatsapp-analysis-parte2
Análisis de sentimientos y visualización de datos con R, de conversaciones de WhatsApp, segunda parte. Uso de librería rwhatsapp.
Language:R 13NBrisbon / Silmarillion-NLP
NLP project on "The Silmarillion" by J.R.R. Tolkien. Text and sentiment analyses using NLTK, VADER, Text Blob, and NRC Emotion Lexicon.
Language:Jupyter Notebook 13JianLoong / sentimentanalysis
Sentiment Analysis in Javascript using the various lexicons including AFINN-165, VADER, NRC Word-Emotion Association, Bing and Loughran-McDonald
Language:JavaScript 5Gail529 / Recommendation-system
Content-based +Emotion/Mood aware Music Recommendation system
Language:Jupyter Notebook 2RAVI-CHANDRIKA-05 / ANALYSING_DISNEYLAND_REVIEWS_NLP
this repo contains files for my analysis on disney land visitor reviews using NLP
Language:HTML 2vishakha-b18 / Text-Analysis-and-Web-Scraping
Applications of NLP like Topic Modeling, Sentiment Analysis, Word Cloud along with Web Scraping.
Language:Jupyter Notebook 2dhruv007patel / Automated-Twitter-Response-Tool
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.
Language:HTML 1- Language:Jupyter Notebook 1
RahilBalar98 / cmpt733-project
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
Language:HTML 1AnFrBo / sentiment_analysis
Sentiment Analysis of the European Commission Report (2012, 2015, 2018) with Several Emotion Dictionaries and a ShinyDashboard
Language:R 0cja5553 / tweets_mining_social_concerns_orphans
codes for: "Applications of social-media mining in examining the social concerns of orphans during the early stages of the COVID-19 pandemic."
Language:Jupyter Notebook 0feng-jj / movie-script-IMDb
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 movies correlate with strong box office earnings.
Language:Python 0GRP99 / Environmental-Intelligence-with-NLP
Practical work framed and developed in the course of Environmental Intelligence : Technologies and Applications
Language:Java 0iamajitsingh / CovidVaccine-AnalyzingPublicOpinion
Analysis of public opinion of the COVID-19 vaccine on online social network (Twitter)
Language:Jupyter Notebook 0reeantencamah / R_Hotel-Reviews-Emotion-Analysis
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.
Language:R 0- Web-Scrape-IGN-Reviews-Sentiment
SeyiAgboola / 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
Language:Python 0 Yahya123-hub / AI-Text-Filtering-System-
Empower your content moderation with the console based AI text filtering system. Seamlessly filter and flag inappropriate or harmful content with precision and efficiency.
Language:Python 0devinaa1604 / Demonetization_Sentiment_Analysis
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.
hzionn / SentimentAnalysis
Programming for Social Science, 2021
Language:Jupyter Notebook
