Text mining is used to extract hidden valuable information from semi-structured or
unstructured. The amount of information available is day by day increasing at a dramatic …

Summarization is the process of reducing a text document to create a summary that retains
the most important points of the original document. Extractive summarizers work on the …

Keywords play a major role in representing the gist of a document. Therefore, a lot of Natural
Language processing tools have been implemented to identify keywords in both structured …

Manipulating public opinion using social media has become a pressing issue in this decade.
Evidence of using organized social media manipulation campaigns have been taken place …

Document repositories often provide a keyword-based query interfaces to allow users to
search for documents. These interfaces typically have rate limits or monetary cost per access …

Failure Mode and Effects Analysis (FMEA) is one of the basic and the most commonly used
techniques in reliability analysis and management. Design FMEA is the application of the …

Recent times have been difficult for deep learning and natural language processing in terms
of topic generation. The production of a subject reduces the length of a lengthy email body …

This research is intended to give detailed overview of basic concept of two text mining
techniques namely information retrieval and information extraction. This paper has provided …

The quantity of text documents on the Internet has increased so quickly that manual analysis
is no longer feasible. Extracting the key elements from studied documents requires an …

Keyphrases are one of the most important parts of a document that give an insight on how a
specific document is related. Keyphrase extraction systems are becoming increasingly vital …