Topic trending is a popular research topic in recent years since, there are massive
participations in social web sites, countless number of updates, news, opinions and product …

Annotated corpus can greatly assist in the natural language processing field. For example,
computers can understand more of the document context, and indexing and clustering in …

Named Entity Recognition (NER) is the process of identifying the elementary units in a text
document and classifying them into predefined categories such as person, location …

In today's world, most people spend their time interacting online through social media
platforms. They regularly consume news from online media sources such as social media …

Geospatial data is a critical component of decision support systems for regional governance.
The use of spatio-temporal data is most useful for rapid map** of socio-economic …

This paper considers the problem of recognizing information about the spatial relations of
geographical objects in natural language texts. The proposed technology of spatial relations …

Social media mining is the process of collecting large datasets from user-generated content
and extracting and analyzing social media interactions to recognize meaningful patterns in …

Phrase extraction is an information extraction task that extracts words or phrases in a
specific category from text data, which is used in various downstream NLP technologies …

Published online ABSTRACT Text document expresses enormous sort of in traditional
database. Unstructured data, pa transformed into a structured data. Extracting The …

Document management (DM) is fundamentally one of the most effective approaches applied
in managing information flow in an organization. In reality, the utilization of an electronic …