This paper describes a use case for an application that recommends learning objects for reuse and is integrated in the authoring environment. The recommendations are based on the automatic detection of content being authored and the context in which this resource is authored or used. The focus of the paper is automatic keyword extraction, evaluated as a starting point for content analysis. The ...

A new technique to produce a summary of an original text investigated in this paper. The system develops many approaches to solve this problem that gave a high quality result. The model consists of four stages. The preprocess stages convert the unstructured text into structured. In first stage, the system removes the stop words, pars the text and assigning the POS (tag) for each word in the tex...

In this ongoing work, we investigate a model that applies the perceptron training rule for extraction of keywords from abstracts and titles. We have tested our model on a set of abstracts of Academic papers containing keywords composed by the authors. Current results have not indicated any success of our learning approach.

With the currently growing interest in the Semantic Web, keywords/metadata extraction is coming to play an increasingly important role.

There are growing needs for patent analysis using Natural Language Processing (NLP)-based approaches. Although NLP-based approaches can extract various information from patents, there are very few approaches proposed to extract those parts what inventors regard as novel or having an inventive step compared to all existing works ever. To extract such parts is difficult even for human annotators ...

Keywords play a vital role in extracting the correct information as per user requirements. Keywords are like index terms that contain the most important information about the content of the document. Keyword Extraction is the task of identifying a keyword or keyphrase from a document that can help users easily to understand the documents. Meeting transcripts is significantly different from docu...

Lately, a revolutionary method to synthesize maximally permissive with fewest monitors has emerged. It relies on reachability analysis to find minimal sets of legal and forbidden markings. A number of linear constraints are constructed [by solving an integer linear programming problem (ILPP)] to forbid all forbidden markings in the set, while guaranteeing all legal markings reachable. Due to th...

Twitter has become the foremost standard of social media in today’s world. Over 335 million users are online monthly, and near about 80% accessing it through their mobiles. Further, is now supporting 35+ which enhance its usage too much. It facilitates people having different languages. Near 21% total from US 79% outside US. A tweet restricted to a hundred forty characters; hence contains such ...

Keywords are subset of words or phrases from a document that can describe the meaning of the document. Many text mining applications can take advantage from it. Unfortunately, a large portion of documents still do not have keywords assigned. On the other hand, manual assignment of high quality keywords is expensive, time-consuming, and error prone. Therefore, most algorithms and systems aimed t...