Abstract
Which features are the most important for the text classification tasks? In the automatic text categorization area, several studies seek answers to this question. In this paper, new version of Text2arff (a library for text representation) and its new features (word2vec, Word trajectories, etc.) are presented. Also, the software is now a java library which can be used in the user's own projects. In the experiments, the library is run on two sample datasets. The results show that the effect of text representation method is bigger than the classification method. This result also emphasizes the importance of developing new test representation methods.
Keywords
Word2vec
Computer science
Representation (politics)
Text categorization
Categorization
Information retrieval
Java
Word (group theory)
Artificial intelligence
Natural language processing
Sample (material)
Software
Programming language
Mathematics
Subject Areas
Advanced Text Analysis Techniques
·Artificial Intelligence ·Physical Sciences
Topic Modeling
·Artificial Intelligence ·Physical Sciences
Natural Language Processing Techniques
·Artificial Intelligence ·Physical Sciences
Citations by Year
2023: 1
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