🐦 Twitter Sentiment - Community reaction analyzer for official game companies announcement tweets. BERT multilingual and SNSCRAPE to gather Twitter data for sentiment analysis.
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Updated
May 25, 2024 - Jupyter Notebook
🐦 Twitter Sentiment - Community reaction analyzer for official game companies announcement tweets. BERT multilingual and SNSCRAPE to gather Twitter data for sentiment analysis.
The AI-powered ser Python package is a tool for recognizing and analyzing emotions in speech. Employing state-of-the-art machine learning and audio processing techniques, it classifies emotions in audio recordings, extracts transcripts, and integrates these with a timeline of emotional states
Repository for my jekyll blog
Sentiment Analysis of Reviews using Python
Flipkart is one of the most popular Indian companies. It is an e-commerce platform that competes with popular e-commerce platforms like Amazon. One of the most popular use cases of data science is the task of sentiment analysis of product reviews sold on e-commerce platforms.
This API provides a powerful tool for analyzing the sentiment of text data. It helps you understand the overall sentiment (positive, negative, or neutral) and detailed sentiment breakdowns (joy, sadness, anger, etc.) within your text.
The sentiment-summary module generates summaries from larger bodies of text considering sentence-level sentiment. Multiple summarization algorithms and sentiment analysis engines are supported.
Directing Sentiment and Evoking Recall in GPT-2 from an Attention Bock Based Persistent Memory using a Small Fraction of One Layer and a Case for the Spacial Separation of what might be described as Emotional Implicit Memory and Explicit Memory
🎤 Lyrics/associated NLP data for Billboard's Top 100, 1950-2015.
final submission dicoding expert class machine learning
TikTok is one of the most popular social media apps today. It is famous for its short videos. People often use this app to watch entertaining and funny videos. Despite its entertaining content, this application is not liked by everyone.
A framework to empower forecasting using Large Language Models (LLMs)
A text-to-audio application that turns words and sentiments into melodies.
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