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20 articles for “Lexicons”
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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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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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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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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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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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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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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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Feature Selection and Weighted Based Optimized Weight based Multi-Tier Stacked Ensemble (WMTSE) Classification for Twitter Sentiment Analysis
Abstract: AbstractThis research work concentrates on both feature selection and classification methods for utilizing twitter data. A new classifier is introduced for classifying “tweets” into positive, negative and neutral sentiment. The system contains four steps: Preprocessing by Tokenization, Text Cleaning, Part of Speech (PoS) Tagging, Stemming and Stop Words Removal, Feature Extraction by Bag-of-words (BoW), Lexicon-based features and Term Frequency- Inverse Document Frequency(TF-IDF), Feature Selection by Binary Swallow Swarm Optimization (BSSO) …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 20–23 Read article
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A Study on Insect Journey using Sensor
Abstract: The orthodox entomologist’s toolkit – the net, the vial, the killing jar – has long rendered its subject’s mute. We have cataloged insects by their form, their pinned and static beauty, but have been largely deaf to the living, breathing reality of their existence. This study proposes a paradigm shift: to listen. By deploying a suite of miniaturized, non-invasive sensors – from accelerometers that trace the micro-vibrations of a beetle’s …
Published in International Journal of Insects · Vol. 2, Issue 2, 2025 · pp. 01–05 Read article
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Handling Inflections for Translation and Part of Speech (POS) Tagging of Bengali Words
Abstract: AbstractThis paper presents a translation scheme and parsing strategy of Bengali words aiming to develop a machine translation (MT) system for Bangla to English. In this research, we have focused large diversity of the complex inflection variations in Bengali language. As the inflected words without exception are not readily available in the dictionary, identifying the root words or stems from inflected words are essential for correct translation. In our work, …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 1, 2016 · pp. 27–34 Read article
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A Review on Therapeutic Utilities and Purificatory Procedure of Gunja (Abrus precatorius Linn.) as Described in Ayurveda
Abstract: AbstractGunja (Abrus precatorius Linn.), belonging to the family Fabaceae, has been used by the Ayurvedic physicians, for management of different disease conditions. It comes under the upavisha (semi-poisonous) group in Ayurvedic pharmacopoeia. It is a slender, perennialclimber with long, pinnate leaves that twines around trees, shrubs and hedges. In this review, an endeavour has been made to explore the therapeutic utilities of Gunja, its formulations and its different methods of …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 2, Issue 1, 2013 · pp. 1–11 Read article
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Rationale behind Scope of Hepato-Protective Drugs in the Treatment of Mukhdushika (Acne Vulgaris)
Abstract: AbstractAmong the skin diseases, mukhadushika is the most commonly observed ailment in day-to-day life having latent impact on one’s psychological behavior. Mukhdushika is mentioned in the context of kshudraroga by almost all major lexicons of Ayurveda with its brief pathogenesis. In contemporary medicine mukhdushika can be correlated with acne vulgaris which is predominant in puberty due to hormonal changes. Excess androgen leads to over secretion of sebum from sebaceous glands …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 2, Issue 2, 2013 · pp. 45–51 Read article
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Pilot Survey of Plants Found Along the Roadsides, Hedges and Waste Places of Gamdi Village, Anand, Gujarat
Abstract: Field survey is an essential tool for understanding the availability and distribution of medicinal plants. Eventually it helps in promotion and conservation of medicinal plants by educating the people about their medicinal uses. So, a survey was conducted under the promotion of National Service Scheme (NSS) to identify and trace out the distribution of medicinally useful plants which grow in Gamdi village as a weed along the roadside including the …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 4, Issue 3, 2015 · pp. 53–61 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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An Unsupervised Common Sense-based Learning Framework for Emotion Detection and Classification in Textual Social Data
Abstract: AbstractEmotions are inherent to human behavior and generally expressed in response to the stimuli from the external environment or some internal processes. With the widespread use of online social platforms, people often express themselves using tweets, blogs and posts which generally include affective text. The topic of emotion detection and recognition has been widely studied in computational science and in fact a separate area “Affective Computing” is dedicated to its …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 4, Issue 3, 2017 · pp. 44–51 Read article
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Sentiment Analysis Using Hybrid Feature Extraction for Hotel Reviews
Abstract: Interpersonal interaction destinations have become well known and normal spots for sharing wide scope of feelings through short messages. These feelings incorporate satisfaction, pity, tension, dread, and so forth. Breaking down short messages helps in recognizing the conclusion communicated by the group. Feeling analysis on hotel audits recognizes the generally speaking sentimentor assessment communicated by a commentator towards an inn. Numerous specialists are dealing with pruning the notion investigation model …
Published in Journal of Operating Systems Development & Trends · Vol. 8, Issue 1, 2021 · pp. 22–30 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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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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A Comprehensive Review on Therapeutic Potentials of Patha (Cissampelos pareira Linn.) from Classical Texts of Ayurveda
Abstract: Patha is one of the widely used medicinal plants since Vedic period. In classical texts, the plant is also cited as an edible leafy vegetable apart from its medicinal properties. Patha is indicated in the treatment of various disease conditions as a single drug and as an ingredient of many compound formulations. In the present review, comprehensive review of Ayurvedic classical plant Patha has been carried out from 25 Nighantus …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 4, Issue 1, 2017 · pp. 17–35 Read article