Empower your content moderation with the console based AI text filtering system. Seamlessly filter and flag inappropriate or harmful content with precision and efficiency.
-
Updated
Jan 24, 2024 - Python
Empower your content moderation with the console based AI text filtering system. Seamlessly filter and flag inappropriate or harmful content with precision and efficiency.
codes for: "Applications of social-media mining in examining the social concerns of orphans during the early stages of the COVID-19 pandemic."
Sentiment Analysis in Javascript using the various lexicons including AFINN-165, VADER, NRC Word-Emotion Association, Bing and Loughran-McDonald
Analysis of public opinion of the COVID-19 vaccine on online social network (Twitter)
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
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.
this repo contains files for my analysis on disney land visitor reviews using NLP
Programming for Social Science, 2021
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
Practical work framed and developed in the course of Environmental Intelligence : Technologies and Applications
A content based recommendation system for Taylor's recent albums
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
Análisis de sentimientos y visualización de datos con R, de conversaciones de WhatsApp, segunda parte. Uso de librería rwhatsapp.
Content-based +Emotion/Mood aware Music Recommendation system
A python package for classifying emotion
Applications of NLP like Topic Modeling, Sentiment Analysis, Word Cloud along with Web Scraping.
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…
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.
NLP project on "The Silmarillion" by J.R.R. Tolkien. Text and sentiment analyses using NLTK, VADER, Text Blob, and NRC Emotion Lexicon.
Add a description, image, and links to the nrc-emotion-lexicon topic page so that developers can more easily learn about it.
To associate your repository with the nrc-emotion-lexicon topic, visit your repo's landing page and select "manage topics."