Increasing popularity of social media sites (eg, Twitter, Facebook) leads to the increasing
amount of online data. Student's casual talks on these social media sites can be used to …

Recently, there are unprecedented data growth originating from different online platforms
which contribute to big data in terms of volume, velocity, variety and veracity (4Vs). Given …

Text classification is one of the most widely used natural language processing technologies.
Common text classification applications include spam identification, news text classification …

As Artificial Intelligence (AI) and Machine Learning (ML) gaining momentum on industry and
academic field, a deeper understanding for AI and ML are highly required. One of the most …

The objective of text classification is to categorize documents into a specific number of
predefined categories. We can easily imagine the issue of arranging documents, not by …

In this contemporaneous world, it is an obligation for any organization working with
documents to end up with the insipid task of classifying truckload of documents, which is the …

The main objective is to classify the field from IT research papers and compare the accuracy
in two classifiers. Classification is the form of data analysis that can be used to extract …

Classification is a challenging phenomenon. Text classification uses terms as features which
can be grouped to vote for belongingness of a class. This paper explores the performance of …

Text classification is an essential advance in characteristic dialect processing. It very well
may be performed utilizing different classification algorithms. Hadoop Map Reduce is widely …

Natural Language Processing (NLP) systems conventionally treat words as distinct atomic
symbols. The model can leverage small amounts of information regarding the relationship …