Approaches and Trends of Automatic Bangla Text Summarization

Md. Haque, Suraiya Pervin, Anowar Hossain, Zerina Begum

OAI: oai:igi-global.com:252810 • DOI: 10.4018/IJTD.20201001.oa

As long as the internet user is increasing, online electronic content is growing proportionally irrespective of languages. A lot of research works on English text summarization have come to light to deal with this gigantic body of online text. Unfortunately, a few works have been accomplished for Bangla though a huge number of people are involved with this language. This article has tried to explore the trend of research work on Bangla text summarization. Fourteen approaches have been briefly expounded here by addressing the pros and cons with some scope of improvement. A comparison has also been turned based on their incorporated features and evaluation results. It is expected that this article will draw the attention of more researchers in the area of Bangla text summarization and give a crystal-clear message about the opportunities to the next generation. The integrated message about all the existing methods has been depicted here to reveal the importance of Bangla text summarization. To the best of the author's knowledge, this is the first review study in this ground.

Digital Divide & Developing Countries Computer Science and Information Technology IT Research and Theory