#自然语言处理#Obsei is a low code AI powered automation tool. It can be used in various business flows like social listening, AI based alerting, brand image analysis, comparative study and more .
My personal prompt library for various LLMs + scripts & tools. Suitable for models from Deepseek, OpenAI, Claude, Meta, Mistral, Google, Grok, and others.
#搜索#Open Source research tool to search, browse, analyze and explore large document collections by Semantic Search Engine and Open Source Text Mining & Text Analytics platform (Integrates ETL for document...
#自然语言处理#Natural language detection library for Rust. Try demo online: https://whatlang.org/
#搜索#A Modern C++ Data Sciences Toolkit
#自然语言处理#Homer, a text analyser in Python, can help make your text more clear, simple and useful for your readers.
翻译 - Homer是Python中的文本分析器，可帮助您使文本更清晰，简单和对读者有用。
Fake News Detection in Python
#自然语言处理#Resources for learning about Text Mining and Natural Language Processing
#自然语言处理#中文情感分析库(Chinese Sentiment))可对文本进行情绪分析、正负情感分析。Text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec .
#自然语言处理#Repository with all what is necessary for sentiment analysis and related areas
#自然语言处理#PHP Text Analysis is a library for performing Information Retrieval (IR) and Natural Language Processing (NLP) tasks using the PHP language
#网络爬虫#Jekyll-based static site for The Programming Historian
#自然语言处理#Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
Detect non-inclusive language in your source code.
Tutorial and introduction into programming with Python for the humanities and social sciences
#计算机科学#🗣️ Tool to generate adversarial text examples and test machine learning models against them
Official PyTorch implementation of the paper "TEMOS: Generating diverse human motions from textual descriptions", ECCV 2022 (Oral)
#自然语言处理#文本分析包，支持字数统计、可读性、文档相似度、情感分析在内的多种文本分析方法。Text analysis, supporting multiple methods including word count, readability, document similarity, sentiment analysis, Word2Vec/GloVe, and Large Language Models ...
