This paper presents an approach towards bi-lingual sentiment analysis of tweets. Social networks being most advanced and popular communication medium can help in designing better government and business strategies. There are a number of studies reported that use data from social networks; however, most of them are based on English language. In this research, we […]
This paper presents a framework to perform concept- and keyword-based English search of the Holy Quran. The concept-based search is challenging as it should be able to handle the abstract queries which often do not occur verbatim in text. In order to implement it, a Qur’anic English WordNet is implemented, which is a WordNet-derived database […]
This paper presents a framework to perform concept- and keyword-based English search of the Holy Quran. The concept-based search is challenging as it should be able to handle the abstract queries which often do not occur verbatim in text. In order to implement it, a Qur’anic English WordNet is implemented, which is a WordNet-derived database […]
In this research, we present a novel approach to enhance Text Classification task using improved word representations that embed linguistic information (i.e. POS Tags). Word2vec is the vector based word representation, can be manipulated to work in conjunction with vector based POS representations to improve the accuracy of classifier in text classification task. we will […]
Detecting hate speech is indispensable irrespective of the scale of use of language as it inflicts huge harm on society. This work presents a first resource for classifying the severity of hate speech besides classifying offensive and hate speech content. Current research mostly limits hate speech classification only to its primary categories such as racism, […]
Recommender systems are increasingly being used in e-commerce websites for solving the problem of finding right kind of information. Collaborative filtering is considered as most promising method for recommendation because it recommends items based on common interests of users. Different elements like trust and emotion are being considered in research for improving recommendation accuracy.In trust […]
Recommender Systems (RS) provide customized suggestion to users for specific item across the bulk of identical data such as media recommendations, electronic commerce web pages & social networks. RSs are being developed using the methods such as Collaborative Filtering (CF) and Contents Based Filtering (CB). However, CF suffers from sparseness problem wherein user-to-item data is sparse and CB […]
With the growth in business’s competitive environment, organizations are obliged in tracking consumer’s data so that they can gain success in their business’s aspects. With the advancement in technology of 21st century, a new phase of business competition has started. This phase is to use online data to get more information about the market trends […]
Data mining is extraction of hidden, useful and precious data from large and high dimensional databases. This field is gaining significant recognition, particularly in medical domain, due to the availability of large amount of data, easily collected and stored via computer systems. Lung cancer patients undergo thoracic surgery which is a highly risky procedure. The […]
Data mining is extraction of hidden, useful and precious data from large and high dimensional databases. This field is gaining significant recognition, particularly in medical domain, due to the availability of large amount of data, easily collected and stored via computer systems. Lung cancer patients undergo thoracic surgery which is a highly risky procedure. The […]