Despite artificial intelligence's far-reaching influence in the financial reporting and other
business domains, there is a surprising dearth of accessible descriptions about the …

Due to an exponential growth in the generation of web data, the need for tools and
mechanisms for automatic summarization of Web documents has become very critical. Web …

In today's world, a large collection of information is available in web due to the rapid growth
in technological development. The Web platform stores huge amount of documents and is …

The use of the latent semantic analysis (LSA) in text mining demands large space and time
requirements. This paper proposes a new text extraction method that sets a framework on …

Numerous resolutions and agendas of abundant official meetings are composed in Bangla
language. In this article, we have demonstrated a system that automatically discovers and …

The massive upload of text on the internet makes the text overhead one of the important
challenges faces the Information Retrieval (IR) system. The purpose of this research is to …

Text summarization method finds important data and select relevant sentences to form a
summary from the original text data. In this paper a new approach for extracting summary …

In this paper, we present a textual commonsense concept acquisition system named
SenCept. It works on text of DC electrical circuits and provides commonsense concepts …

Extracting the required knowledge from the available wide spectrum of information is a
demanding research topic in the current scenario. A preferable solution to this issue is …

Bangla is the seventh largest spoken language in the world. However, the information
searching in the digital Bangla papers is a tiresome job as its ends up with incorrect and a …