Text Summarization Techniques for the Bengali Language: Survey

In the last days, there is an explosion of large amount of data from different sources because of increase of invaluable data. Text summarization is a method of extracting usable, valuable, and summarized information from a document’s content. Nowadays, for summarizing text, different techniques are available for different-different languages. One of the most practical applications of natural language processing is text summarization. It is popular for valuable information condensation. In today’s world, it plays a very important character in day-to-day life. This paper gives appropriate knowledge of different-different text summarization techniques. The research goes through the two types of text summary, extractive and abstractive, and contrasts the performance of Bengali among other Indian languages. In this paper, techniques used for extracting the data are discussed in brief. Extractive text summarization and abstractive text summarization are the different sorts of text summarization. The majority of the effective strategies for summarizing Bengali material were discussed in this work. Preprocessing and word reordering are two highly prevalent strategies that are employed by all procedures, as we discovered from our examination of several techniques. In today’s world as data on internet increase, rapidly new techniques are also developed for extracting relevant data. As in upcoming years, communication technologies will be also there with text summarization. Due to these innovations, the research and research development sectors have grown rapidly.