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Latent Semantic Indexing-Based Hybrid Collaborative Filtering for Recommender Systems
Advances in information technologies increase the number and diversity of digital objects. This increase poses significant problems in reaching the...
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Automatic Text Summarization of Konkani Texts Using Latent Semantic Analysis
Automatic text summarization involves extracting relevant details from the contents of input text documents for generating summaries. This area of...
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A Probabilistic-Statistical Approach to Detection of Semantic Relations Between Indexing Terms
An approach to dynamic structurization of information space based on the analysis of semantic relations between indexing terms is proposed....
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Aggregating Industrial Security Findings with Semantic Similarity-Based Techniques
In the last years, the unification of software development and operation teams has become a common trend for the industrial software development...
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Framework for Automatic Semantic Annotation of Images Based on Image’s Low-Level Features and Surrounding Text
Semantic annotation of images is the process of assigning metadata in the form of captions to a digital image. This is an important process for the...
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An efficient long-text semantic retrieval approach via utilizing presentation learning on short-text
Although the short-text retrieval model by BERT achieves significant performance improvement, research on the efficiency and performance of long-text...
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BiCropRec: A Bi-Classifier Approach for Crop Recommendation Based on Inclusion of Semantic Intelligence and Topic Modelling
Better crop yield is the sole aim for the working farmers all over the world. Finding new and effective technologies can help all the farmers yield...
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Sentiment Analysis and Topic Modeling on Polycystic Ovary Syndrome from Online Forum Using Deep Learning Approach
Twitter and other internet sites offer an easy way for people apprehensive about communicating and exchanging information regarding health issues....
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Semantic Relations and Information Discovery
The treatment of semantic relations between terms is essential in information retrieval (IR). Each term in a thesaurus might have classes of...
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Fuzzy Markov chain latent space probabilistic decision-making for feature optimization in content-based image recognition
Content-Based Image Retrieval (CBIR) systems use a group of preset and predefined parameters for their configuration. However, in machine learning...
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Comparative Analysis of Topic Modeling Algorithms Based on Arabic News Documents
Topic modeling is a text mining technique that revolves around extracting latent topics from a collection of documents. Although the majority of...
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Bengali Document Retrieval Using Model Combination
In this paper, we present an approach for Bengali information retrieval that combines two Information Retrieval (IR) models. Our proposed hybrid...
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Topic Modelling Based Semantic Search
In today’s world, information is needed to be retrieved from plethora of publications and papers for scientific paper writing, paper reviewing....
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CIWPR: A Strategic Framework for Collective Intelligence Encompassment for Web Page Recommendation
Web page recommendation is one of the vital strategies in the era of Web 3.0 due to the exponential increase of the contents over the World Wide Web...
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OntoDynS: expediting personalization and diversification in semantic search by facilitating cognitive human interaction through ontology bagging and dynamic ontology alignment
To reduce the cognitive gap between human cognition and semantic search engines, there is a need for the incorporation of crowdsourced Ontologies and...
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Information Retrieval Using Latent Semantic Analysis
This paper deals with Information Retrieval using Latent Semantic Analysis (LSA). In the process of searching for relevant information, user query as...
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Likelihood corpus distribution: an efficient topic modelling scheme for Bengali document class identification
The learning quality of humans depends on the sense of contemplation. Textual documents are a huge part of the literature on contemplation which...
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DTagRecPLS: Diversification of Tag Recommendation for Videos Using Preferential Learning and Differential Semantics
Video tag recommendation is not just necessary but also mandatory in the present-day scenario where multimedia content specifically videos are...
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Fuzzy Semantic Classification of Multi-Domain E-Learning Concept
Scholarly articles are a great source of knowledge. Learning from them like E-learning requires automatic approaches to build concept-maps, learning...
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Semantic Network: A Brief Review of its Datasets
Semantic networks are graphical representations, in terms of nodes and edges, of words and phrases from the linguistics vocabulary to form a meaning...