Incremental TextRank - Automatic Keyword Extraction for Text Streams

• Type: Article in International Conference Proceedings Book
• Date: 2018

Authors

Sarmento, RP (Author) Other; Cordeiro, M (Author) Other; Pavel Brazdil (Author) FEP; João Gama (Author) FEP

Conference proceedings International

Title: Proceedings of the 20th International Conference on Enterprise Information Systems, ICEIS 2018, Funchal, Madeira, Portugal, March 21-24, 2018, Volume 1.

Pages: 363-370

Indexing

Scopus - 6 Citations

Other information

Authenticus ID: P-00P-SWW

Abstract (EN): Text Mining and NLP techniques are a hot topic nowadays. Researchers thrive to develop new and faster algorithms to cope with larger amounts of data. Particularly, text data analysis has been increasing in interest due to the growth of social networks media. Given this, the development of new algorithms and/or the upgrade of existing ones is now a crucial task to deal with text mining problems under this new scenario. In this paper, we present an update to TextRank, a well-known implementation used to do automatic keyword extraction from text, adapted to deal with streams of text. In addition, we present results for this implementation and compare them with the batch version. Major improvements are lowest computation times for the processing of the same text data, in a streaming environment, both in sliding window and incremental setups. The speedups obtained in the experimental results are significant. Therefore the approach was considered valid and useful to the research community. Copyright

Language: English

Type (Professor's evaluation): Scientific