Prediction of Movies popularity using machine learning techniques

The prediction of movies popularity is challenging problem. Movies prediction is a hot topic for movie makers, producers, directors, production houses and also there is a large amount of data related to the movies is available over the internet, because of that much data available, it is an interesting data mining topic. Every viewer, producer, […]


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Depression Detection using Machine Learning Technique

In today’s world, mental health diseases have become highly prevalent, and depression is one of the mental health problems that has become widespread. According to WHO reports, depression is the second-leading cause of the global burden of diseases. In the proliferation of such issues, social media has proven to be a great platform for people […]


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Recommending of experts to questions on Stack Overflow

In order to assist the process of questions answering on CQA (Community Question Answering) websites, this paper proposes an improved methodology of batch recommendation of answerers (experts) to questions called BESF (BERT Expert Recommendation using Multi-Objective Sailfish Algorithm with Genetic Algorithm). First, experts and questions modeling is done using BERT Topic modeling technique, which creates […]


Optimal Controller’s Placement inside SDN environment via Machine Learning Technique

In recent years, Software Defined Networking (SDN) has emerged as a pivotal element in various networks. The prominent feature of software-defined networking is the separation of two planes that were tightly coupled in traditional networks that is the forwarding and control planes. Forwarding plane’s basic functionalities are packet forwarding while control plane issues control command […]


Detecting Semantically Similar Sentences Using Deep Learning Techniques

In this research, we present a novel approach to enhance Text Classification task using improved word representations that have sentence embeddings. Word2vec is the vector based word representation, can be manipulated to work in conjunction with vector based sentence representations to improve the accuracy of classifier in text classification task. we will demonstrate how distributed […]


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Supervised Topic Modeling in Urdu Language for Domain Lexicon Generation

Urdu is the 8th largest spoken language in the world with more than 140 million speakers in subcontinent. It is a national language of Pakistan and an official language of six Indian states. Despite its abundant usage, the research work in Urdu language is still limited. Textual data of Urdu is increasing day by data […]


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Deep Fusion Approach Towards Kinship Verification

Living in the modern age of technology where there are high slogans of face analytics, data mining, social media analysis, Kinship verification finds its way from the automatic tagging of pictures,videos to the surveillance,security,human trafficking control and many more applicable areas. Automated Kinship Verification answers the question that the two individuals are blood relatives or […]


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A Model for Entity and Relation Extraction from Biomedical Text

Adverse drugs reaction is potentially risky issue which may lead to illness or death in patients. Adverse Drug Event (ADE) extraction is important problem in biomedical research. Existing work mostly use neural network models or feature based pipeline methods that use just word embedding as an input features. When feature-based models are used, many feature […]


Optimal Kernel Tuning Parameter Prediction using Deep Sequence Models

GPU kernels have come to the forefront of computing due to their utility in varied fields, from high-performance computing to machine learning. A typical GPU compute kernel is invoked millions, if not billions of times in a typical application, which makes their performance highly critical. Due to the unknown nature of the optimization surface, an […]