Text Classification
javedsha/text-classification
Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK
🧠 Natural Language Processing
Jupyter NotebookMITupdated Jul 10, 2019
基于scikit-learn实现对新浪新闻的文本分类,数据集为100w篇文档,总计10类,测试集与训练集1:1划分。分类算法采用SVM和Bayes,其中Bayes作为baseline。
$ git clone https://github.com/qyfang/TextClassification.gitMachine Learning and NLP: Text Classification using python, scikit-learn and NLTK
2018-DC-“达观杯”文本智能处理挑战赛:冠军 (1st/3131)
An experiment about re-implementing supervised learning models based on shallow neural network approaches (e.g. fastText) with some additional exclusive features and nice API. Written in Python and fully compatible with Scikit-learn.
:notebook: Long(er) text representation and classification using Doc2Vec embeddings
中文图书数据集/数据挖掘/自然语言处理/中国图书分类法/图书情报学/数据挖掘/文本分类/
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
Data from GitHub · snapshot Sep 24, 2026