Topic: "nrc-emotion-lexicon"
dinbav/LeXmo
A python package for classifying emotion
Language: Python - Size: 1.68 MB - Last synced at: 3 days ago - Pushed at: almost 5 years ago - Stars: 18 - Forks: 10
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 - Size: 439 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 13 - Forks: 2
JianLoong/sentimentanalysis
Sentiment Analysis in Javascript using the various lexicons including AFINN-165, VADER, NRC Word-Emotion Association, Bing and Loughran-McDonald
Language: JavaScript - Size: 12.2 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1
Gail529/Recommendation-system
Content-based +Emotion/Mood aware Music Recommendation system
Language: Jupyter Notebook - Size: 1.18 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1
EnigmaMajoris/Metamorfose
Utilizando-se da linguagem R, o artigo apresenta uma análise da obra de Raul Seixas por meio da implamentação da API 'Spotifyr' e da função 'getsentiments()' do pacote tidytext.
Language: JavaScript - Size: 6.05 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0
dhruv007patel/Automated-Twitter-Response-Tool Fork of sfu-dataminers/cmpt733-project
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.
Size: 25.3 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
RAVI-CHANDRIKA-05/ANALYSING_DISNEYLAND_REVIEWS_NLP
this repo contains files for my analysis on disney land visitor reviews using NLP
Language: HTML - Size: 24.8 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 1 - Forks: 0
Gail529/Taylor
A content based recommendation system for Taylor's recent albums
Language: Jupyter Notebook - Size: 3.88 MB - Last synced at: about 2 months ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
Hamidok75/lexm
A specification for representing dictionary-ready, lexical entries and their relationships
Language: Ruby - Size: 117 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0
018gaurav/lexm
A specification for representing dictionary-ready, lexical entries and their relationships
Language: Ruby - Size: 117 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 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 - Size: 1.25 MB - Last synced at: 4 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
cja5553/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 - Size: 252 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
iamajitsingh/CovidVaccine-AnalyzingPublicOpinion
Analysis of public opinion of the COVID-19 vaccine on online social network (Twitter)
Language: Jupyter Notebook - Size: 19.5 MB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1
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 - Size: 7.81 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
AnFrBo/sentiment_analysis
Sentiment Analysis of the European Commission Report (2012, 2015, 2018) with Several Emotion Dictionaries and a ShinyDashboard
Language: R - Size: 898 KB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
