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49 articles for “Lex”
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Opinion Mining through Enhanced Lexicon Approach
Abstract: AbstractThe World Wide Web’s rapid growth has enhanced online communication. One of the approaches to putting user views is the use of social networking sites. The user’s opinion needs to be analyzed by studying user’s input text using techniques of machine learning with subjectivity, emotion, sentiment analysis or polarity calculation. Most of the existing work in the field of opinion mining has largely focused on identifying sentiment polarity as positive, …
Published in Journal of Web Engineering & Technology · Vol. 7, Issue 3, 2020 · pp. 8–15 Read article
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Lexical semantic activation in persons with Aphasia
Abstract: Lexical semantic activation (LSA) is defined as retrieval of the most appropriate word from the lexicon. LSA is accomplished through three steps, conceptual activation, lexical node activation and phoneme retrieval and can be tested through a variety of tasks including priming task. LSA is found to be defective in persons with aphasia; it can be manifested as storage deficit or access deficit. Storage deficit is a condition where there is …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 7, Issue 3, 2017 · pp. 20–25 Read article
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An Approach to Design a Compiler in Context of Lexical Analyzer (Scanner) and Parser Generation (Parser) Followed by Non-optimized Intermediate Code Generation using Compiler Construction Tools
Abstract: It is very tedious and lengthy task to write a compiler. To realize the various phases of compilers we can use some specific tools. These tools are called compiler construction tools. Furthermore, we call it as compiler-compiler, compiler-generators, or translator writing system. A mixture of compiler building tools are Scanner generator —it generates lexical analyzers. The patterns specified to these generators are in the type of regular expressions. The LINUX …
Published in Journal of Advances in Shell Programming · Vol. 1, Issue 1, 2014 · pp. 1–8 Read article
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Lexical Semantic Organization for Verbs
Abstract: The words in the lexicon are arranged according to a prescribed pattern. Many terms such as syntagmatic versus paradigmatic, contiguity versus similarity, etc are put forth to explain the organization. The terms taxonomic versus thematic is found to be more apt while explaining the organization for nouns and verbs. Taxonomic refers to the names of other lexical items, while thematic refers to the cluster of words which goes with the …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 8, Issue 2, 2018 · pp. 30–34 Read article
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Multimedia Abstraction in E-learning via LexRank and Latent Semantic Analysis
Abstract: In today’s era of abundant online information, it is essential to offer an efficient and precise solution for accessing information. With the growing usage of the Internet and smartphones, there has been a consistent rise in online education, entertainment, and various other activities. However, there are instances when we lack the time to delve into lengthy content like videos or podcasts. Hence, there is a need for a method to …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 10, Issue 2, 2023 · pp. 21–28 Read article
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Investigating Mechanism of Lexical Retrieval in Children by employing structural priming
Abstract: Lexical access is the retrieval of the most appropriate word from the lexicon. Lexical access can be assessed by employing several tasks including priming task. The aim of the present study was to explore the mechanism of lexical activation for retrieving sentences. The participants included children in the age range of 11–14 years. The study was carried out in Kannada and ANT Kannada stimulus was used to evoke retrieval. Stimulus …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 6, Issue 1, 2019 · pp. 1–3 Read article
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Are the Words in the Lexicon arranged in a pattern?
Abstract: Words are arranged in a specific pattern in the lexicon. The lexical arrangement is studied by employing a word association task. Each stimulus is known to elicit different kind of responses including taxonomic responses (which includes a response belonging to the same category), thematic (which includes a response common to the same theme as the target word). The lexical semantic organization would vary as a function of stimulus type, The …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 1, 2019 · pp. 19–23 Read article
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Lexical Semantic Organization in Visually Challenged and Neurotypical Children
Abstract: The words in the lexicon are arranged in a specific pattern. The words belonging to the same lexical category is assumed to be arranged together and this notion is termed as taxonomic arrangement, while the second view believes that the words, which share a common theme, are arranged together, and this kind is arrangement is termed as thematic. Typically, developing children show a developmental trend and this trend as proven …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 5, Issue 3, 2018 · pp. 37–41 Read article
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A Comparative Study of SentiWordNet and Other Lexicons for Social Media Sentiment Analysis
Abstract: Another name for opinion mining is "Sentiment Analysis" (SA). Sentiment Analysis is a text classification algorithm that consistently advances the topic of study. Sentiment Analysis, or categorizing opinions into positive or negative categories, is indeed the primary goal of information extraction. Both information producers and consumers face significant challenges because of the explosion of information available online. For a business to be successful, it is crucial to comprehend the thoughts, …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 10, Issue 2, 2023 · pp. 24–29 Read article
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A Review on Punjabi Language Sentiment Analysis Using Machine Learning
Abstract: In this computer era, everyone is expressing their opinions or sentiments not only physically but over the social media platforms very frequently. Earlier, English was the only language for exchanging thoughts over the web, however, in the recent times, feedbacks, surveys or comments by the users are expressed in regional languages too. This leads to the need of analyzing sentiments for better communication on the digital platforms. For example, if …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 2, 2025 · pp. 116–122 Read article
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Cognitive Shifting Abilities in Younger and Older Individuals
Abstract: Cognitive flexibility refers to the ability to switch rapidly between different responses set. It is further sub divided into set shifting and cognitive shifting. While set shifting is considered to be automatic, cognitive shifting is considered to be conscious and strategic. Cognitive shifting can be assessed through a variety of linguistic and non-linguistic tasks. The non-linguistic tasks include stroop task, non-zero task etc. The alternating fluency task is a linguistic …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 7, Issue 3, 2017 · pp. 12–16 Read article
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Law Students and the Use of Technology: Transforming Legal Education in the Digital Era
Abstract: The legal profession is undergoing a digital revolution, making the integration of technology into legal education essential. Traditional learning methods are evolving with the use of digital tools, legal databases, AI-driven research, and virtual platforms, preparing future lawyers for a rapidly changing, technology-driven legal landscape. Traditional methods of legal study, which relied heavily on printed case law books and in-person moot courts, are now being supplemented with advanced digital tools. …
Published in Journal of Microcontroller Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 25–29 Read article
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Tensor-Flow Based Approach to Identify Author of the Text
Abstract: Now-a-days a lot of content is available on internet, and people upload lot of information in form of opinion, review, description, recipe etc. online. In such scenario to trace the authenticity of the data, it is necessary to develop an author identification system. It has become a difficult problem in the scope of unnamed information has increased with fast growing Internet life. It is a process to identify author of …
Published in Current Trends in Information Technology · Vol. 8, Issue 3, 2018 · pp. 23–29 Read article
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A Strategical Review on Text Summarization
Abstract: Text summarization is the important component of the document analysis. Reading the complete set of documents if the work is tedious, so that the summary presents the brief idea about the whole document. In this paper we review the concept of the automatic text summarization and the concept involved in the automatic text summarization.Cite this ArticlePankaj Kumar, Komal Sharma*. A Strategical Review on Text Summarization. Research & Reviews: A Journal …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 6, Issue 3, 2018 · pp. 8–12 Read article
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Efficient Classification of Noisy Text
Abstract: Textual content comprises a significant volume of data generated online on a daily basis. The web-generated data often consists of high levels of noise due to a variety of factors. Development of efficient systems for automatic classification of noisy data is a crucial task in text mining. This paper examines a technique for classification of noisy text which is based on multiple feature selection and supervised learning. The main aim …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 1, 2018 · pp. 56–61 Read article
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Food Texture Descriptors: A Compilation of the most Important Terms used in Sensory Analyses
Abstract: The texture is essential in the quality and acceptance of food, being classified into three distinct groups: mechanical, geometrical, and compositional. The so-called “lexicons” are standardized vocabularies with the definitions and references for each attribute which aid the application of descriptive sensory analysis. The objective of this study was to raise typical texture descriptors from different types of food, relating them to the methodologies and technological processes used, besides the …
Published in Research & Reviews : Journal of Food Science & Technology · Vol. 9, Issue 3, 2020 · pp. 16–27 Read article
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Selective Attention Ability in Alcoholics and Non-Alcoholics
Abstract: Selective attention refers to the ability to focus on a particular activity by suppressing the background activities which may be taking place at the same time and the same place. The activity on which the focus is placed is termed as foreground and the other activity taking place simultaneously is called background. The present study aimed at studying selective attention in alcoholics and non-alcoholics by employing non-zero task and lexical …
Published in Research and Reviews : Journal of Computational Biology · Vol. 6, Issue 3, 2017 · pp. 16–19 Read article
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Auditory Discrimination for Meaningful and Non-meaningful Minimal Pairs in Persons with Aphasia and Neurotypical Population
Abstract: The present study was carried out with the aim of investigating auditory discrimination in persons with aphasia. Neurotypical participants, persons with anomic aphasia and persons with Broca’s aphasia served as the participants of the study. Auditory discrimination task was carried out on all the participants. The participants were instructed to denote if the pair of words was alike or different by pressing the designated keys on a game pad. Neurotypical …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 10, Issue 1, 2020 · pp. 16–19 Read article
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AI-Based Sentiment Analysis of Public Perception Under Bangabandhu Sheikh Mujibur Rahman
Abstract: Sheikh Mujibur Rahman, known as Bangabandhu, played a pivotal role in Bangladesh’s post-liberation period (1971–1975). Understanding public sentiment during his leadership is crucial for historical analysis. This study employs Artificial Intelligence (AI)-based Sentiment Analysis to examine public perception through archived newspapers, parliamentary speeches, and historical records. Using Natural Language Processing (NLP) techniques, including sentiment classification and opinion mining, we analyze textual data to assess the prevailing public mood during his …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 2, 2025 · pp. 21–29 Read article
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Natural Language Processing in Everyday Applications: From Classrooms to Clinics
Abstract: Natural Language Processing (NLP) is transforming everyday sectors like healthcare and education by creating new opportunities for efficiency, accessibility, and early intervention. This paper investigates the function of natural language processing (NLP) in computer education. Tools like automated grading systems, intelligent tutoring assistants, and multilingual translation platforms are revolutionizing traditional teaching methods. Despite its benefits, adoption is still being slowed down by problems like data privacy, integration with education, and …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 3, 2025 Read article