Roshanson/TextInfoExp
自然语言处理实验（sougou数据集），TF-IDF，文本分类、聚类、词向量、情感识别、关系抽取等
This project offers a foundational toolkit for experimenting with various natural language processing tasks using the Sogou dataset. You can input Chinese text data and explore methods for text classification, clustering, sentiment analysis, and relationship extraction. It's designed for data scientists, NLP students, or researchers who are learning or testing different NLP algorithms.
1,729 stars. No commits in the last 6 months.
Use this if you need a pre-configured environment and basic implementations to learn about or benchmark common Chinese NLP techniques like TF-IDF, word embeddings, and text categorization.
Not ideal if you're looking for an out-of-the-box solution for production NLP tasks or if you require advanced, state-of-the-art models for specific applications.
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Python
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Last pushed
Jul 18, 2022
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