Statistics for topic sentiment-analysis
RepositoryStats tracks 595,858 Github repositories, of these 250 are tagged with the sentiment-analysis topic. The most common primary language for repositories using this topic is Python (122). Other languages include: Jupyter Notebook (71), JavaScript (12)
Stargazers over time for topic sentiment-analysis
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FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Sear...
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts ...
ProText Analyzer is a powerful tool for extracting insights from text. It conducts sentiment analysis, categorizing content as positive, negative, or neutral, while also assessing readability and ling...
ProText Analyzer is a powerful tool for extracting insights from text. It conducts sentiment analysis, categorizing content as positive, negative, or neutral, while also assessing readability and ling...
对豆瓣影评进行文本分类情感分析，利用爬虫豆瓣爬取评论，进行数据清洗，分词，采用BERT、CNN、LSTM等模型进行训练，采用tensorboardX可视化训练过程，自然语言处理项目\A project for text classification, based on torch 1.7.1
Stock Market Prediction Web App based on Machine Learning and Sentiment Analysis of Tweets (API keys included in code). The front end of the Web App is based on Flask and Wordpress. The App forecasts ...
情感分析、文本分类、词典、bayes、sentiment analysis、TextCNN、classification、tensorflow、BERT、CNN、text classification
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financia...
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Sear...
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
This repo contains implementation of different architectures for emotion recognition in conversations.
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
ProText Analyzer is a powerful tool for extracting insights from text. It conducts sentiment analysis, categorizing content as positive, negative, or neutral, while also assessing readability and ling...
📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) data...
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time
对豆瓣影评进行文本分类情感分析，利用爬虫豆瓣爬取评论，进行数据清洗，分词，采用BERT、CNN、LSTM等模型进行训练，采用tensorboardX可视化训练过程，自然语言处理项目\A project for text classification, based on torch 1.7.1
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Sear...
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Tutorials on getting started with PyTorch and TorchText for sentiment analysis.
This repo contains implementation of different architectures for emotion recognition in conversations.
ProText Analyzer is a powerful tool for extracting insights from text. It conducts sentiment analysis, categorizing content as positive, negative, or neutral, while also assessing readability and ling...
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis
SentimentArcs: a large ensemble of dozens of sentiment analysis models to analyze emotion in text over time
Codes for ACL 2023 paper: Reasoning Implicit Sentiment with Chain-of-Thought Prompting
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for be...
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for be...
A sentiment analyzer package for financial assets and securities utilizing GPT models.
Developed BERT, LSTM, TFIDF, and Word2Vec models to analyze social media data, extracting service aspects and sentiments from a custom dataset. Provided actionable insights to telecom operators for cu...
ProText Analyzer is a powerful tool for extracting insights from text. It conducts sentiment analysis, categorizing content as positive, negative, or neutral, while also assessing readability and ling...
FinGPT: Open-Source Financial Large Language Models! Revolutionize 🔥 We release the trained model on HuggingFace.
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Sear...
AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for be...
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Learning Language-guided Adaptive Hyper-modality Representation for Multimodal Sentiment Analysis
📚 Text Classification with LoRA (Low-Rank Adaptation) of Language Models - Efficiently fine-tune large language models for text classification tasks using the Stanford Sentiment Treebank (SST-2) data...
This project employs emotion detection in textual data, specifically trained on Twitter data comprising tweets labeled with corresponding emotions. It seamlessly takes text inputs and provides the mos...
FinTwit-Bot is a Discord bot designed to track and analyze financial markets by pulling data from platforms like Twitter, Reddit, and Binance. It features customizable tools for sentiment analysis, m...
EMNLP 2023 Papers: Explore cutting-edge research from EMNLP 2023, the premier conference for advancing empirical methods in natural language processing. Stay updated on the latest in machine learning,...