文件名称:libshorttext-1.0.tar
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Introduction
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.-Introduction
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.
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.-Introduction
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.
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