AReview of Aspect Detection and Categorization Techniques for Text Summarization

The text summarization plays a pivot role to comprehend the large text in a meaningful manner to reduce the burden of going through the documents. The automatic and robust text summarization has several real-life applications such as News article summarization, Online meeting transcripts summarization etc. The text summarization can be done considering various features of the text. In this paper, we review the text summarization techniques focused on aspect detection and categorization. This study shows in depth analysis of different methods used for the aspect detection and categorization. Furthermore, this work employs selected methodologies to demonstrate practical applications, emphasizing their effectiveness in the context of producing logical and clear text summaries. The proposed work will help prospective researchers to understand the importance of aspects in text for summarization and it will also provide the knowledge on avenues of approaches used for summarization.