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21 articles for “Emotion Mining”
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Emotion mining using Unsupervised Learning
Abstract: Social networks are considered as the most abundant sources of affective information for Sentiment and Emotion Classification. Emotion Classification is the challenging task of classifying emotions into different types. Emotion is a mental state observed by behavioral or developmental changes. Emotions being universal, the automatic exploration of emotion is considered as the difficult task to be performed. A lot of the research is being conducted in the field of automatic …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 3, 2018 · pp. 24–34 Read article
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Explainable Sentiment Mining Model in Mental Health Forums for Emotion Classification and Justification
Abstract: Understanding and interpreting emotions expressed in online mental health discussions plays a crucial role in enabling early detection of psychological distress and facilitating timely interventions. As individuals increasingly turn to digital platforms to share personal experiences and seek support, automated systems capable of accurately identifying emotional states can significantly assist clinicians, moderators, and support communities. This paper presents a deep learning–based sentiment mining and emotion classification framework specifically designed to …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 4, Issue 1, 2026 · pp. 22–32 Read article
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Scientific Paper Reviews Identification by Sentiment Analysis in Data Mining
Abstract: AbstractSentiment analysis (SA) is one of the rapidly growing fields of research in computer science and makes it difficult to track all activities in the area. Analyzes of thoughts and/or perceptions are used for automating subjective information identification such as opinions, attitudes, emotions, and feelings. Hundreds of thousands are concerned about science and take a long time to select appropriate papers for their research. These opinions are numerous and SA …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 7, Issue 3, 2020 · pp. 1–9 Read article
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Emotion Evaluation from Text: A Survey
Abstract: Information extraction is the process of retrieving structured information from unstructured or semi-structured text. It has a wide range of applications in domains such as biomedical literature mining, business intelligence, sentiment analysis, and emotion analysis. This survey describes recent works in the field of emotion detection for text data, being a part of the broader area of affective computing. It has been inspired by the well-known fact that, despite there …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 5, Issue 2, 2018 · pp. 8–20 Read article
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Various Techniques of Sentiment Analysis on Twitter Data Set: A Survey
Abstract: AbstractSentiment analysis is the process of computationally identifying and categorizing opinions expressed in a piece of text, especially in order to determine whether the writer's attitude towards a particular topic, product, etc. is positive, negative, or neutral. Sentiment analysis could be a variety of data processing that measures the inclination of people’s opinions through natural language processing (NLP), linguistics and text analysis, that square measure want to extract and analyze …
Published in Journal of Advanced Database Management & Systems · Vol. 4, Issue 2, 2017 · pp. 27–32 Read article
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Punjabi Text Sentiment Analysis Using Indic NLP
Abstract: Sentiment Analysis has become one of the challenging domains with the gaining popularity of Internet and social media platforms. Sentiment or opinion mining means to know people’s opinion, attitude, views and emotions towards anything. Sentiment analysis in English language has already been analyzing but there is a need of analyzing sentiments in other regional language in which Punjabi language is one of them. Users from the Punjab state of India …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 15, Issue 1, 2025 · pp. 38–42 Read article
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Multi-Class Automatic Emotion Classifier
Abstract: Now a day’s various social networking sites has become a very popular communication tool among internet users across the world. People keep on updating their status, thoughts, opinions, suggestions etc. across the continent which often includes their emotions and sentiments. Therefore social networking sites are rich sources of data for opinion mining and sentiment analysis. In this paper, we are focusing on using Twitter, the most popular social networking platform, …
Published in Journal of Advancements in Robotics · Vol. 5, Issue 1, 2018 · pp. 15–25 Read article
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Probing the Sentiment Analysis Variants
Abstract: AbstractNowadays online social networks are so popular that they have become a major component of an individual’s social interaction. They are also emotionally-rich environments where users share their emotions, feelings, ideas and thoughts. Sentiment Analysis (SA) or conclusion mining has, as of late, turned into the focal point of numerous specialists, since examination of online content is useful and requested for statistical surveying, logical reviews from psychological and sociological viewpoint, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 6, Issue 1, 2019 · pp. 11–16 Read article
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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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Sensory Psychology of Supergrain Bakery: Consumer Perception Beyond Taste
Abstract: Bakery products remain a cornerstone of diets worldwide, yet wheat-based formulations are increasingly supplemented or replaced as consumers demand healthier, more functional alternatives. Supergrains such as quinoa, amaranth, millet, and cowpea, together with fruit-based flours such as guava flour, have been extensively investigated to enrich wheat-based products and improve their nutritional value. At the same time, the science of sensory psychology has become central to product acceptance, as taste, aroma, …
Published in International Journal of Nutritions · Vol. 3, Issue 2, 2026 Read article
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Predictive Analytics for Student Well-Being and Occupational Success
Abstract: The integration of predictive analytics into higher education has significantly transformed institutional decision-making processes. However, prevailing implementations remain predominantly performance-centered, focusing on dropout prediction and grade forecasting rather than holistic developmental outcomes. Concurrently, higher education systems worldwide are confronting escalating concerns regarding student mental health, disengagement, career uncertainty, and labor market volatility. These intersecting challenges necessitate a broader theoretical reconceptualization of predictive analytics—one that integrates psychological well-being and long-term occupational …
Published in International Journal of Education Sciences · Vol. 3, Issue 1, 2026 · pp. 155–163 Read article
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Twitter Emoticon Interpretation Using Machine Learning Algorithms in Sentiment Analysis
Abstract: In the current era, thousands of people share their opinions every day on the well-known microblogging platform Twitter in the form of tweets. A tweet must be brief and straightforward in order to be effective, though sentiment analysis of Twitter data will be the main emphasis of this study. Sentiment analysis study encompasses NLP and text data mining. We will conduct sentiment analysis on Twitter data using several logistic machine …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 1, 2024 · pp. 1–6 Read article
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Deep Learning-Based Sentiment Analysis of Twitter COVID-19 Vaccination Responses
Abstract: The COVID-19 pandemic has caused significant fear, anxiety, and complex emotions or feelings in a large number of people. A global vaccination campaign to end the SARS-CoV-2 epidemic is now in progress. People's feelings have become more complex and varied since the introduction of vaccinations against the coronavirus. The use of social media platforms such as X (formally known as Twitter) enables users to communicate with one another and share …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 3, 2023 · pp. 1–14 Read article
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An Evaluation of Sentiment Analysis in Online Reviews using FRN Algorithm
Abstract: The internet is rich in directional text (i.e., text containing opinions and emotions). World Wide Web provides volumes of text-based data about consumer preferences, stored in online review websites, web forums, blogs, etc. Sentiment analysis is a technique to classify people’s opinions in product reviews, blogs or social networks and has emerged as a method for mining opinions from such text archives. It uses machine learning methods combined with linguistic …
Published in Journal of Operating Systems Development & Trends · Vol. 1, Issue 1, 2014 · pp. 14–20 Read article
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The Influence of Artificial Intelligence on Literary Criticism
Abstract: Artificial Intelligence (AI) has emerged as a significant force in reshaping contemporary literary criticism. Traditionally, the interpretation of literature has relied primarily on human-centered methods such as close reading, contextual analysis, and theoretical framing. However, the integration of AI-based techniques including Natural Language Processing (NLP), Machine Learning (ML), stylometry, and sentiment analysis has introduced new possibilities for examining literary texts at both micro and macro levels. These computational approaches allow …
Published in International Journal of Trends in Humanities · Vol. 3, Issue 2, 2026 · pp. 22–29 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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Unani Management of Kasrate Tams (Menorrhagia): A Literary Review
Abstract: Menstrual disorders have drawn much attention of the gynaecologists and physicians at present and in the ancient times more than any other health problems of the females. Among all gynaecological problems, “Menorrhagia (Kasrate Tams/Ifrate Tams)” is one of the most common complaints in menstruating females. Approximately it affects 10 to 15% of the adult female population. It is a problem that affects physical, emotional, and social activities and quality of …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 8, Issue 1, 2021 · pp. 28–34 Read article
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Unleashing the Power of Mathematics in Natural Language Processing: Sentiment Analysis Perspectives
Abstract: Sentiment analysis (SA), which utilizes natural language processing (NLP), computational linguistics, text analysis, image processing, and video processing to extract and analyze subjective information from the internet, social media, and other sources, is becoming increasingly popular in both the business world and the scientific community. It is even possible to model it so that it focuses on polarity, sentiments and emotions, urgency, and even goals. It is able to distinguish …
Published in Recent Trends in Programming languages · Vol. 10, Issue 2, 2023 · pp. 1–9 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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Infant Nutrition: Overcoming Challenges in Malnutrition, Weaning, Allergies, and Food Storage for Healthy Growth and Development
Abstract: This review paper examines the critical nutritional needs of infants, focusing particularly on the growth and development of children aged 6-12 months. During this phase, infants experience rapid physical, cognitive, and emotional development, which is heavily dependent on adequate nutrition. The paper explores various aspects of infant nutrition, including the roles of essential nutrients, the challenges posed by malnutrition, and the specific implications of protein energy malnutrition (PEM). It also …
Published in International Journal of Trends in Horticulture · Vol. 2, Issue 1, 2025 · pp. 13–17 Read article