@inproceedings{09f0edc9f3d243aab769f97931f5d7b0,
title = "Keywords extraction based on text classification",
abstract = "In this paper, we propose new keywords extraction method based on texts classification. We first classify texts to determine their categories. Then determine weights of candidate words according to both their frequency and the relevance between text words and text category. Finally, keywords are extracted by sorting weights of candidate words. We conduct this experiment to show that on the premise of accurate text classification, this method can extract keywords effectively from text without title or with deviated title which can not reflect text's subject. Objective selecting of candidate word weighting function still needs to be further researched.",
keywords = "Candidate word, Keywords extraction, Text classification, Weight function CLC number: TP391.1",
author = "Yang, {Li Gong} and Jian Zhu and Tang, {Shi Ping}",
year = "2013",
doi = "10.4028/www.scientific.net/AMR.765-767.1604",
language = "English",
isbn = "9783037857984",
series = "Advanced Materials Research",
pages = "1604--1609",
booktitle = "Advanced Information and Computer Technology in Engineering and Manufacturing, Environmental Engineering",
note = "2013 International Conference on Advances in Materials Science and Manufacturing Technology, AMSMT 2013 ; Conference date: 18-05-2013 Through 19-05-2013",
}