hankcs/text-classification-svm
The missing SVM-based text classification module implementing HanLP's interface
This tool helps you categorize text documents into predefined groups using a Support Vector Machine (SVM) model. You provide your text data, and it outputs labels indicating what category each document belongs to. This is ideal for anyone needing to automatically sort and organize large collections of documents.
No commits in the last 6 months.
Use this if you need to classify large amounts of text quickly and accurately, leveraging an existing HanLP setup.
Not ideal if you prefer deep learning models for text classification or if you don't use the HanLP framework.
Stars
46
Forks
25
Language
Java
License
Apache-2.0
Category
Last pushed
Dec 28, 2017
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/hankcs/text-classification-svm"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
derhuerst/nbayes
A Naive Bayes classifier written in JavaScript.
ningchaoar/UnsupervisedTextClassification
基于关键词的无监督文本分类；Implementation for paper "Text Classification by Bootstrapping with Keywords, EM...
samitha9125/SinhalaTextClassification
Sinhala Text Classification based on n-grams
qyfang/TextClassification
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。
fullstackyang/article-classifier
基于朴素贝叶斯实现的一款微信公众号文章分类器