Results 71 to 80 of about 254,803 (193)

An Online Topic Modeling Framework with Topics Automatically Labeled

open access: yes, 2019
5 pages, 3 figures ...
Jin, Fenglei   +2 more
openaire   +2 more sources

Automatic Categorization of Mental Health Frame in Indonesian X (Twitter) Text using Classification and Topic Detection Techniques

open access: yesKhazanah Informatika
This paper aims to develop a machine learning model to detect mental health frames in Indonesian-language tweets on the X (Twitter) platform. This research is motivated by the gap in automatically detecting mental health frames, despite the importance of
Setio Basuki   +2 more
doaj   +1 more source

Cinematic Costumes Between the Function of Publicity and Semiotics Significance

open access: yesالاكاديمي, 2018
The cinematic costume is a qualitative element that transcends the direct function of it. It is an active personality that can become a brand of publicity and transformative signs that dismantle the intellectual system of acts, characters and events and ...
Maher Majeed Ibrahim
doaj   +1 more source

Comparison of VADER and TextBlob labeling for sentiment analysis using machine learning and deep learning models: A study on generative AI user experience

open access: yesActa Psychologica
Acquiring awareness, understanding, and emotional engagement with generative artificial intelligence (AI) is crucial for enhancing service delivery and attracting new users.
Socheat In, Sieb Chanchamnan
doaj   +1 more source

US Farm Animal Welfare: An Economic Perspective

open access: yesAnimals, 2019
The topic of farm animal welfare (FAW) is both complex and controversial, and inherently involves expertise and views from multiple disciplines. This article provides a summary of economic perspectives on FAW issues in the United States.
Glynn T. Tonsor, Christopher A. Wolf
doaj   +1 more source

Can Large Language Models (LLM) label topics from a topic model?

open access: yes, 2023
ChatGPT is a general application based on a Large Language Model (LLM) developed by OpenAI. It is useful in many tasks in Natural Language Processing (NLP). As NLP tasks are prevalent in the practice of social science, ChatGPT is potentially a significant tool for social science.
Dai Li, Bolun Zhang, Yimang Zhou
openaire   +1 more source

Ekstraksi Frasa Kunci pada Penggabungan Klaster berdasarkan Maximum-Common-Subgraph

open access: yesJurnal Nasional Teknik Elektro dan Teknologi Informasi, 2018
Document clustering based on topic similarities helps users in searching from a collection of scientific articles. Topic labels are necessesary for describing subjects of the document clusters.
Adhi Nurilham   +2 more
doaj   +1 more source

Subject/non-subject movement asymmetries in Late Archaic Chinese

open access: yesGlossa, 2019
This paper accounts for the inability of a non-subject DP to move over the subject in Late Archaic Chinese (LAC) by proposing that DP movement could only be licensed by checking a case feature.
Edith Aldridge
doaj   +2 more sources

United We Stand: Using Multiple Strategies for Topic Labeling [PDF]

open access: yes, 2018
Topic labeling aims at providing a sound, possibly multi-words, label that depicts a topic drawn from a topic model. This is of the utmost practical interest in order to quickly grasp a topic informa-tional content-the usual ranked list of words that maximizes a topic presents limitations for this task.
Gourru, Antoine   +4 more
openaire   +3 more sources

The “label code” of pro-environmental behavior—a study on pro-environmental behavior based on behavioral label theory

open access: yesScientific Reports
The topic of environmental protection has received more and more attention, among which pro-environmental behavior is a major focus of attention. Based on the findings of construal level theory, behavioral labels, and personal norms, combined with the ...
Xiaozhi Huang, Jiayue Li
doaj   +1 more source

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