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49 articles for “Lex”
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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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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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Graph based Word Sense Disambiguation for Gujarati
Abstract: Due to high Semantic Ambiguity that is associated with language, Word Sense Disambiguation is an open problem of Natural Language Processing and Ontology in Computer Linguistics. For instance, the Gujarati word પુવૅ (Purva) can mean East and Past. The task of automatically assigning the most suitable meaning to a polysemous word can be defined as Word Sense Disambiguation. Several approaches have been done, from Dictionary-and Knowledge-based method that uses Lexical …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 2, 2018 · pp. 35–43 Read article
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An Online Dictionary and Thesaurus
Abstract: AbstractSemantic similarity and definition of words are very crucial part of the data; therefore various online dictionary and thesaurus had been studied in the literature and it was found that wordnet is the most famous and better one. WordNet design is inspired by current psycholinguistic theories of human lexical memory. It is an ontology-based system which organizes English nouns, verbs, and adjectives into synonym sets, each representing one underlying lexical …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 1, 2019 · pp. 32–38 Read article
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Detecting Hateful Content on Social Media
Abstract: Abstract: As humans have identified social media as an indispensable mode of interaction, their evil side seems to have spilled all over the social media platforms. With a humongous number of victims to hatred on the social media, we realized it must be rooted out. We proposed creating a classifier that learns from many a feature including lexical, semantic, syntactic, morphological and contextual features. This paper aims to revolve around …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 6, Issue 3, 2019 · pp. 25–31 Read article
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Performance of Semantic Fluency tasks in Swahili-English Bilinguals
Abstract: AbstractVerbal fluency tests i.e. Semantic fluency tasks- are a neurophysiological test of verbal functioning, providing information on multiple cognitive processes used by an individual. Literature has shown that is it still unresolved as to if bilinguals show a specific linguistic disadvantage or advantage over certain cognitive processes in such tasks. This study aims to determine the performance of verbal fluency tasks i.e. semantic tasks amongst native primary language, Swahili (L1) …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 7, Issue 2, 2020 · pp. 1–8 Read article
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Study of Finite State Machines as Language Recognizer
Abstract: Finite State Machines (FSMs) play a fundamental role in computer science and linguistics as language recognizers. This study presents an exploration of the principles and applications of FSMs as efficient tools for recognizing formal languages. The study delves into the theoretical foundations of FSMs and their practical implementation in various language recognition tasks. The fundamental ideas of FSMs, including as states, transitions, and input symbols, are introduced in this study. …
Published in International Journal of Data Structure Studies · Vol. 1, Issue 1, 2023 · pp. 18–24 Read article
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Detection of Phished URLs Using Machine Learning
Abstract: Phishing attacks remain a significant cybersecurity challenge, requiring innovative detection strategies. This study investigates the use of machine learning to detect phishing URLs, to improve the accuracy and reliability of detection systems. Utilizing a diverse dataset of legitimate and phishing URLs we extracted the features such as lexical properties, domain-specific details, and HTML content to train various machine learning models. Algorithms including Random Forest, support vector machine (SVM), and gradient …
Published in Journal of Web Engineering & Technology · Vol. 11, Issue 3, 2024 · pp. 1–7 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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FROM SPEECH TO SONGS VIA RECITAL – A CASE OF PHASE TRANSITION? A FRACTAL STUDY OF TAGORE’S WORK
Abstract: The work explores the variation of scaling exponents in a song, recitation and reading with the same lyrical content. Detrended Fluctuation Analysis (DFA) have been employed to find the long range temporal correlations (or the Hurst Exponent) present in each form of the auditory signal. Perceptually, it is known that the addition of rhythm and pitch, amplitude modulation distinguish between these different forms of audio signals, but the mathematical analogue …
Published in Trends in Electrical Engineering · Vol. 9, Issue 3, 2019 · pp. 30–36 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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Rotation Invariant Copy-Move Image Forgery Detection Using a Method Based on Fuzzy-Zernike Moments
Abstract: AbstractWithout leaving any visual clue, digital images are easy to manipulate due to the availability of countless editing software packages. Any image manipulation can become a forgery. Copymove forgery is a very common method of creating forge images by copying some part of the image and pastes it on the same image. In this paper, we propose a copy-move digital image forgery detection method using Fuzzy-Zernike Moments. The proposed method …
Published in Journal of Computer Technology & Applications · Vol. 7, Issue 2, 2016 · pp. 58–68 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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Contextual Cueing for Retrieval of Nouns and Verbs in Persons with Anomic Aphasia
Abstract: Persons with anomic aphasia exhibit word finding difficulties. These word finding difficulties are often attributed to lexical semantic breakdown and are manifested as naming difficulty. The errors on naming can be overcome by using cues. Cues can be of different types such as phonemic, semantic etc. Many studies have been carried out to determine the efficacy of such cues. Verbal contextual cue is also a type of cue where the …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 7, Issue 2, 2018 · pp. 1–5 Read article
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Verbal Fluency Measures in Persons with Type II Diabetes
Abstract: Diabetes is a very common condition with high prevalence rates. Prolonged diabetes is known to induce complications concerning retinal, renal, cardio vascular and peripheral nervous systems. Complications of diabetes in regard to cognitive and cognitive linguistic processing has been studied by many researchers in the recent years. Verbal fluency measures are very simple to test and are time economic. The present study aimed to measure verbal fluency measure (category fluency …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 7, Issue 3, 2017 · pp. 26–30 Read article
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Retrieval of nouns and verbs in Persons with Aphasia
Abstract: A grammatically correct sentence is comprised of two parts, a subject (noun or pronoun) and a predicate (verb). The noun represents the names of a particular person, place or thing. The verb, on the other hand, represents actions, states, processes or relations. Nouns and verbs, differ in the linguistic dimensions, such as word frequency, imageabilty, and lexical semantic variables. These varying dimensions have been explored in individuals with Aphasia and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 9, Issue 1, 2019 · pp. 24–28 Read article
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Automated Evaluation of Descriptive Answers
Abstract: This paper offers a smarter system of automatic evaluation of descriptive responses in educational tests. The time-consuming aspect of testing with traditional manual marking, the subjectivity of that process, and the impossibility of scaling it makes it inapplicable, particularly to large academic environments. To resolve the issues, the proposed solution combines the methods of Natural Language Processing (NLP) and hybrid image-text processing on the responses of handwriting and typed answers. …
Published in Emerging Trends in Languages · Vol. 3, Issue 2, 2026 · pp. 1–9 Read article