An emotion-polarity classifier specifically trained on developers' communication channels
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Updated
Jun 24, 2019 - R
An emotion-polarity classifier specifically trained on developers' communication channels
ML that can extract german and english sentiment
NLP based Classification Model that predicts a person's personality type as one of the 16 Myers Briggs personality types. Extremely challenging project dealing with correlation between human psychology and casual writing styles and handling heavily imbalanced classes. Check the app here - https://mb-predictor-motetuzs5q-uc.a.run.app/
Sentiment Analyser: Sentiment Analysis of user feedback in Play Store to improve app quality!
Scripts utilizing Heartex platform to build brand sentiment analysis from the news
A system that analyzes the tone of texts and statements.
Multilanguage version of VADER Sentiment Analysis with automatic language-detection
Banglish -> Bangla (With avro phonetic) -> English (With textblob translator) -> Sentiment
A python program that detects emotions (sentiment) associated with texts
A sentiment analyser in R that pulls tweets related to cryptocurrencies and plots the graphs related to how +ve or -ve the tweets are. Analyses BTC, ETH and LTC
Analyze the sentiment of a text stored in a string or file and understand the reason why your blogs and posts are not ranking up.
Using Python and Streamlit to build beautiful and interactive dashboards and web apps. Load, explore, visualize and interact with data, and generate dashboards
Minor Project - Abusive Comment Recognition and Deletion in Live Chat
Using Long Short Term Memory Model and Recursive Neural Network for Sentiment Analysis to use in the automated therapeutic app as an input to read intent of user in Google's cloud natural language processing service 'dialogflow' and on that basis we provide low cost therapy
"Flask Sentiment Analyzer" is a web app that predicts the sentiment of product reviews using machine learning. Users input text, and the app determines whether it's positive or negative. It aids in decision-making by providing quick insights into customer sentiments.
An easy-to-use sentiment analysis tool using TextBlob and a custom GUI. Quickly assess text sentiment as positive, negative, or neutral. Ideal for social media monitoring, customer feedback analysis, and content moderation. Open-source under the MIT License.
Simple sentiment analysis using bag of words model
Sentiment classifier and polarity lexicon creator
A simple sentiment analyser
text2data.com Sentiment Analysis Api C# SDK
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