Opinion mining for national security: techniques, domain applications, challenges and research opportunities
Background Opinion mining, or sentiment analysis, is a field in Natural Language
Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and …
Processing (NLP). It extracts people's thoughts, including assessments, attitudes, and …
Political security threat prediction framework using hybrid lexicon-based approach and machine learning technique
The internet offers a powerful medium for expressing opinions, emotions and ideas, using
online platforms supported by smartphone usage and high internet penetration. Most …
online platforms supported by smartphone usage and high internet penetration. Most …
Emotion detection from social media using machine learning techniques: a survey
V Ahire, S Borse - … Processing Systems: Proceedings of ICCET 2021, 2022 - Springer
The work carried out in this paper is to overview and compare various sentiment analysis
methodologies and approaches in detail and also discuss the limitations of existing work …
methodologies and approaches in detail and also discuss the limitations of existing work …
Emotion detection from textual data using supervised machine learning models
RR Malagi, R Yogith, SP TK, A Kodipalli… - 2023 4th …, 2023 - ieeexplore.ieee.org
Emotion detection and recognition from text is a recent field of research that is closely
related to Sentiment analysis. Many people express themselves using text, photographs …
related to Sentiment analysis. Many people express themselves using text, photographs …
Analyzing deep neural network algorithms for recognition of emotions using textual data
Abstract Evaluation of emotion and recognition from textual data is a new and important
study in the Natural Language Processing (NLP) field that could provide useful information …
study in the Natural Language Processing (NLP) field that could provide useful information …
Novel Curriculum Learning Strategy using Class-Based TF-IDF for Enhancing Personality Detection in Text
N Kwon, Y Yoo, B Lee - IEEE Access, 2024 - ieeexplore.ieee.org
Personality detection plays a pivotal role in social interactions, machine learning (ML), and
natural language processing (NLP). Its goal is to discern an individual's traits from their …
natural language processing (NLP). Its goal is to discern an individual's traits from their …
The Application of Affective Measures in Text-based Emotion Aware Recommender Systems
This paper presents an innovative approach to address the problems researchers face in
Emotion Aware Recommender Systems (EARS): the difficulty and cumbersome collecting …
Emotion Aware Recommender Systems (EARS): the difficulty and cumbersome collecting …
The Limits of Words: Expanding a Word-Based Emotion Analysis System with Multiple Emotion Dictionaries and the Automatic Extraction of Emotive Expressions
L Wang, S Isomura, M Ptaszynski, P Dybala, Y Urabe… - Applied Sciences, 2024 - mdpi.com
Wide adoption of social media has caused an explosion of information stored online, with
the majority of that information containing subjective, opinionated, and emotional content …
the majority of that information containing subjective, opinionated, and emotional content …
Web-based system for medicinal plants identification using convolutional neural network
Indonesia has a variety of medicinal plants that are efficacious for preventing or treating
various diseases. Each region has unique medicinal plants, such as in North Sulawesi …
various diseases. Each region has unique medicinal plants, such as in North Sulawesi …
Naive Bayesian Prediction of Japanese Annotated Corpus for Textual Semantic Word Formation Classification
Z Hao - Mathematical Problems in Engineering, 2022 - Wiley Online Library
With the rapid development of Japanese information processing technology, problems such
as polysemy and ambiguity at the text and dialogue level, as well as unregistered words …
as polysemy and ambiguity at the text and dialogue level, as well as unregistered words …