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15 articles for “TF-IDF”
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Extractive Summarization of Text Using TF-IDF
Abstract: Natural language getting ready a subfield of Artificial intelligence (AI) which facilities round how machines could realize and system human language. Content summarization is one of the big elements of Natural Language preparation (NLP). The objective of the synopsis is to create a shorter form of a unique book by safeguarding the significance and the key substance of the first report. This research work is set a calculation of Extractive …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 8, Issue 3, 2021 · pp. 21–25 Read article
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Detection of Phishing Website URLs and Email/SMS Using Random Forest and Multinomial Naive Bayes
Abstract: Currently, phishing attacks via SMS/email and URL have become significant threat to cybersecurity, posing risks to both individuals and organizations alike. Phishing attacks typically involve the creation of fraudulent websites or the dissemination of deceptive emails and SMS messages to trick users into disclosing sensitive information such as passwords, credit card numbers or personal details. To respond to these attacks, we develop a robust system for the detection of phishing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 22–30 Read article
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Elevare – AI Career Suggestion Portal- Helping Students by Binding the Solutions at One Place
Abstract: The selection of suitable career has become very difficult and it's complexity is being increased day by day, due to advancement in technology and number of professional fields. conventional approaches of suitable of occupation focus on aptitude tests that in fact do not consider the variability in skills. This paper introduces a new AI-powered career suggestion portal called Elevare, which attempted to help students choose a career occupation based on …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 2, 2026 Read article
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Enhancing Explainability in Machine Learning Based Spam Email Detection Using LIME and SHAP
Abstract: Spam emails represent a continual and irritating cybersecurity issue due to the fast expansion of cyberspace communication. These messages are unwanted and, in some cases, dangerous, such as phishing schemes, identity theft, and the propagation of malware. They cause severe financial and data security threats to individuals and organizations. Conventional spam detection techniques, such as rule-based spamming, blacklisting, and keyword classification, are techniques that find it difficult to match adaptive …
Published in Journal Of Network security · Vol. 14, Issue 2, 2026 · pp. 35–48 Read article
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Term Frequency Inverse Document Frequency
Abstract: Recent advances in computers and technology have resulted in an ever increasing set of documents that will be difficult and time-consuming for the user to retrieve useful information from them. The need is to find a set of data of high relevance from the given document. In this paper, we will apply Term Frequency Inverse Document Frequency (TF-IDF) to determine what set of words in a collection of written text …
Published in Journal of Multimedia Technology & Recent Advancements · Vol. 7, Issue 1, 2020 · pp. 1–6 Read article
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Fake News Detection System Using MultinomialNB and Django Framework
Abstract: The emergence of the World Wide Web and the rapid growth of online platforms have transformed the landscape of news dissemination. However, the rise of social media has also led to an overwhelming influx of potentially unreliable information, making it increasingly challenging to verify the truthfulness of articles. This verification process has become a daunting task, necessitating a thorough examination of various domain-specific aspects to ascertain the credibility of news …
Published in Current Trends in Information Technology · Vol. 15, Issue 1, 2025 · pp. 23–32 Read article
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User Personality: Prediction and Question Answering System
Abstract: Personality refers to the general traits of a person based on his or her psychological and individual characteristics that reflect into a person’s overall nature and behaviour. Among the featured measures of this system are the MBTI (Myers Briggs Personality Type) which divides individual personalities into 16 distinct types across four axes. To predict the personality of an individual to get a hint about the individual, a personality prediction system …
Published in Journal of Advancements in Robotics · Vol. 10, Issue 1, 2023 · pp. 5–17 Read article
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A Brief Survey on Content-based Fake News Detection
Abstract: The increase in spread of fake news causes destruction of democracy and public confidence, which has boosted the demand for reliable fake news identification dramatically. Recent developments in this area have opened up innovative approaches for identifying fake news by looking at how it travels on social media. However, in order to spot false news early, one has no information about news distribution because at an early-stage, fake news can …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 10, Issue 3, 2023 · pp. 8–15 Read article
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Fuzzy Algorithm Based Sentiment Analysis: Enhancing Accuracy and Interpretability
Abstract: Sentiment analysis is the technique of determining the point of view, polarity, and intensity of a text. A poll found that 93% of consumers read online evaluations before making a decision. Manually analysing these judgements is challenging. To determine the review's overall sentiment or thinking polarity, sentiment analysis may be employed. This study's goal is to classify product assessment qualities as positive, negative, or neutral. Polarity labelling, feature extraction, and …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 10, Issue 2, 2023 · pp. 1–7 Read article
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Fake News Detection Using N-Gram Analysis and Machine Learning Algorithms
Abstract: Fake news is untrue information presented as news. Fake news easily spread than real news amongst social networking sites. Detection of fake news is an important emerging research area which is gaining popularity. The main challenge in fake news detection is limited availability of resources (datasets). This project work detects fake news using n-gram analysis and machine learning algorithms. Evaluation and comparison between two feature extraction technique namely Term Frequency …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 8, Issue 1, 2021 · pp. 33–43 Read article
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Applying Text Analysis Methods for Emotion Recognition
Abstract: This article presents a comprehensive study of sentiment analysis, a vital task in the realms of natural language processing (NLP) and artificial intelligence (AI). Sentiment analysis involves the extraction and classification of subjective information from textual data, determining whether the sentiment expressed is positive or negative. This paper investigates different approaches and methodologies used in sentiment analysis, encompassing machine learning models as well. Additionally, it discusses the challenges faced in …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 11, Issue 2, 2024 · pp. 12–22 Read article
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ML Model Comparison for Sentiment Analysis Across Diverse Datasets
Abstract: Analyzing sentiment is crucial for understanding public opinion on various issues in marketing, politics, and social sciences. This study compares the performance of seven different machine learning algorithms for sentiment classification, focusing on their effectiveness, accuracy, and complexity. The research is conducted on a pre-processed dataset with balanced text samples, utilizing feature extraction methods such as Term Frequency-Inverse Document Frequency (TF-IDF). The performance assessment criteria consist of accuracy, precision, recall, …
Published in Journal of Operating Systems Development & Trends · Vol. 12, Issue 2, 2025 · pp. 26–33 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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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
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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