1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
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Updated
Nov 29, 2024 - Python
1 line for thousands of State of The Art NLP models in hundreds of languages The fastest and most accurate way to solve text problems.
Repository with all what is necessary for sentiment analysis and related areas
练手项目:Comment of Interest 电商文本评论数据挖掘 (爬虫 + 观点抽取 + 句子级和观点级情感分析)
An emotion-polarity classifier specifically trained on developers' communication channels
Sentiment analysis for Twitter and social media
A system that analyzes the tone of texts and statements.
Automated NLP sentiment predictions- batteries included, or use your own data
SentiSE is a sentiment analysis tool for Software Engineering interactions
A sentiment classifier on mixed language (and mixed script) reviews in Tamil, Malayalam and English
Sentiment Analysis of Yelp Review Dataset using Hugging Face pre-trained BERT with fine-tuning
This is a classifier focused on sentiment analysis of movie reviews
Build a Movie Reviews Sentiment Classifier with Google's BERT Language Model
This project focuses on sentiment analysis. Social Sentiment analysis is the use of natural language processing (NLP) to analyze social conversations online and determine deeper context as they apply to a topic, brand or theme.
This project uses BERT(Bidirectional Encoder Representations from Transformers) for Yelp-5 fine-grained sentiment analysis. It also explores various custom loss functions for regression based approaches of fine-grained sentiment analysis.
Dataset for training Sentiment analysis models
Sentiment Analysis Symposium 2015
This project is a data analysis (data science) tool with scripts to analyze images and text data and store results in a Microsoft Access database.This project also includes a set of Power BI dashboards that are connected to the database and provide a visual representation of the analyzed data.
Sentiment Analysis on Whatsapp Chat
Sentiment Analysis with HuggingFace Transformers Pipeline with 5 Lines of Python code
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