LibShortText is an open source tool for short-text classification and analysis. It can handle the classification of, for example, titles, questions, sentences, and short messages.
Project description
LibShortText is an open source tool for short-text classification and analysis. It can handle the classification of, for example, titles, questions, sentences, and short messages. Main features of LibShortText include
It is more efficient than general text-mining packages. On a typical computer, processing and training 10 million short texts takes only around half an hour. The fast training and testing is built upon the linear classifier LIBLINEAR Default options often work well without tedious tuning. An interactive tool for error analysis is included. Based on the property that each short text contains few words, LibShortText provides details in predicting each text.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distributions
Built Distribution
Hashes for libshorttext-1.1-py2-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | 2203e3c6fb8420f43c2a14af042658d08d9d133ac4fc44c2b11c912fe83d7e47 |
|
MD5 | 4b28c800e1571d6f89e41ed287b998f3 |
|
BLAKE2b-256 | f12d88203ff05af9a78abd149d9de6f8200a9c7b502c63081295543e0e2fb204 |