Sentiment Analysis
Showing 10 of 10 projects
An open-source framework for financial large language models, enabling cost-effective fine-tuning for tasks like sentiment analysis and forecasting.
A simple Python framework for state-of-the-art natural language processing (NLP) tasks like named entity recognition and sentiment analysis.
A simple Python framework for state-of-the-art natural language processing (NLP) tasks like named entity recognition and sentiment analysis.
A Python web mining module with tools for scraping, NLP, machine learning, network analysis, and visualization.
A Python library for processing simplified Chinese text, offering sentiment analysis, segmentation, and keyword extraction.
A modular natural language processing library for Node.js and React Native, designed for building multilingual chatbots and language utilities.
A Python bot that analyzes Trump tweets for company mentions, performs sentiment analysis, and automatically executes stock trades.
A complete AI-driven process using GANs with LSTM and CNN to predict stock price movements, incorporating diverse data sources and hyperparameter optimization.
A state-of-the-art Natural Language Processing library built on Apache Spark, offering 100,000+ pretrained models and pipelines in 200+ languages.
A Rust-native port of Hugging Face Transformers providing ready-to-use NLP pipelines and transformer models like BERT, GPT2, and T5.
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