A5071111867- Hate Speech and Cyberbullying Detection
- Natural Language Processing Techniques
- Handwritten Text Recognition Techniques
- Bullying, Victimization, and Aggression
- Vehicle License Plate Recognition
- Image Processing and 3D Reconstruction
- Internet Traffic Analysis and Secure E-voting
- Topic Modeling
- Swearing, Euphemism, Multilingualism
- Text and Document Classification Technologies
- Spam and Phishing Detection
- Sentiment Analysis and Opinion Mining
- Stock Market Forecasting Methods
- Advanced Malware Detection Techniques
Central Institute of Technology Kokrajhar
2021-2024
IMS Unison University
2018
During the last 20 years, significant research studies have been undertaken for automatic recognition of printed documents. The same is true Bangla, a major Indian script. All these were mainly centered on comparatively well-behaved good quality However, many large archives include volumes older documents which are so degraded in their present form that they cannot be reasonably transcribed using existing OCR (Optical Character Recognition) approaches. On other hand, contents has application...
Hate speech detection research is a recent sizzling topic in natural language processing (NLP). Unburdened uses of social media platforms make people over-opinionative, which crosses the limit leaving comments and posts toxic. A toxic outlook increases violence towards neighbour, state, country, continent. Several laws have been introduced different countries to end emergency problem. Now, all started working on restricting hate or comments. generally text classification problem if...
Hate speech or hate content detection in a text is one of the emerging research Natural Language Processing. Over several years, popularity social media has sky-rocketed, where anyone can share their feelings, desire, anger, etc. Sometimes, these posts include offensive information that hurts others, intentionally unconsciously. Depending on forum's visibility, such instantly spread over millions people, which may lead to violence. In circumstances, it an essential task identify whether...
Abstract Warning: This paper is based on hate speech detection and may contain examples of abusive/ offensive phrases. Cyberbullying, online harassment, etc., via comments are pervasive across different social media platforms like ™Twitter, ™Facebook, ™YouTube, etc. Hateful must be detected eradicated to prevent harassment violence media. In the Natural Language Processing (NLP) domain, most prevalent task comment classification, which challenging, language models transformers at forefront...
<title>Abstract</title> Identifying and mitigating hateful, abusive, offensive comments on social media is a crucial, paramount task. It's challenging to entirely prevent such hateful content impose rigorous censorship platforms while safeguarding free speech. Recent studies have focused detecting hate speech, whereas the intensity of remains unexplored or somewhat complex. This paper introduces cost-effective, straightforward, novel three-module pipeline, SafeSpeech, for Hate Speech...
The evaluation of content moderation systems requires reliable benchmark data. This task becomes particularly formidable for low-resource languages, where obtaining or curating such data poses significant challenges. Addressing this issue, HASOC 2023 organised various shared tasks focused on identifying offensive in languages. paper reports hate speech detection several Indo-Aryan languages—Assamese, Bengali, Gujarati, and Sinhala as well a Sino-Tibetan language, Bodo, which limited...
Coarse-grained tasks are primarily based on Text classification, one of the earliest problems in NLP, and these done document sentence levels. Here, our goal is to identify technical domain a given Bangla text. In such piece text provides information about specific domains like Biochemistry (bioche), Communication Technology (com-tech), Computer Science (cse), Management (mgmt), Physics (phy) Etc. This paper uses recent deep learning model called Bidirectional Encoder Representations...
Stock price prediction is a critical field used by most business people and common or retail who tried to increase their money value with respect time. People will either gain loss entire life savings in stock market activity. It chaos system. Building an accurate model complex as variation depends on multiple factors such news, social media data, fundamentals, production of the company, government bonds, historical country's economics factor. Prediction which considers only one factor might...
Warning: This paper contains examples of the language that some people may find offensive. Detecting and reducing hateful, abusive, offensive comments is a critical challenging task on social media. Moreover, few studies aim to mitigate intensity hate speech. While have shown context-level semantics are crucial for detecting hateful comments, most this research focuses English due ample datasets available. In contrast, low-resource languages, like Indian remain under-researched because...