Research on Short Text Classification Based on TextCNN

Short Text Classification Based on Improved ITC

The long text classification has got great achievements, but short text classification still needs to be perfected. In this paper, at first, we describe why we select the ITC feature selection algorithm not the conventional TFIDF and the superiority of the ITC compared with the TFIDF, then we conclude the flaws of the conventional ITC algorithm, and then we present an improved ITC feature selec...

Research on Bayes-based Text Automatic Classification

Chinese Short Text Classification Based on Domain Knowledge

People are generating more and more short texts. There is an urgent demand to classify short texts into different domains. Due to the shortness and sparseness of short texts, conventional methods based on Vector Space Model (VSM) have limitations. To tackle the data scarcity problem, we propose a new model to directly measure the correlation between a short text instance and a domain instead of...

Short Text Classification on Complaint Documents

Indonesian government has developed a system for citizens to voice their aspirations and complaints, which are then stored in the form of short documents. Unfortunately, the existing system employs human annotators to manually categorize the short documents, which is very expensive and time-consuming. As a result, automatically classifying the short documents into their correct topics will redu...

On Compression-Based Text Classification

Compression-based text classification methods are easy to apply, requiring virtually no preprocessing of the data. Most such methods are character-based, and thus have the potential to automatically capture non-word features of a document, such as punctuation, word-stems, and features spanning more than one word. However, compression-based classification methods have drawbacks (such as slow run...