Results 271 to 280 of about 28,799,989 (335)

How to Use Large-Language Models for Text Analysis

, 2023
This guide introduces Large Language Models (LLM) as a highly versatile text analysis method within the social sciences. As LLMs are easy-to-use, cheap, fast, and applicable on a broad range of text analysis tasks, ranging from text annotation and ...
Petter Tornberg
semanticscholar   +1 more source

Depression Detection from Social Media Text Analysis using Natural Language Processing Techniques and Hybrid Deep Learning Model

ACM Trans. Asian Low Resour. Lang. Inf. Process., 2022
Depression is a kind of emotion that negatively impacts people's daily lives. The number of people suffering from long-term feelings is increasing every year across the globe.
V. Tejaswini, Korra Sathya Babu, Bibhudatta Sahoo   +2 more
semanticscholar   +1 more source

Indexed Text-Analysis

Methods of Information in Medicine, 1974
General conditions for medical text analysis are discussed. By means of formal description the errors which occur during manual codification with the over-cross method are analysed by distribution in different classes of diagnoses. It is pointed out that the largest error arises through incorrect correlation of the diagnoses in the summary of findings ...
K, Kayser, W W, Höpker, U, Müller U+MULLER   +2 more
openaire   +2 more sources

Automated Text Analysis for Consumer Research

Journal of Consumer Research, 2018
Ashlee Humphreys, Rebecca Jen-Hui Wang, Eileen Fischer   +2 more
exaly   +2 more sources

A Probabilistic Method for Text Analysis

2009 Ninth International Conference on Intelligent Systems Design and Applications, 2009
Textual materials are source of extremely valuable information, for which there must be a reflection on the techniques of analysis to be used to avoid subjective interpretations especially in the content. The Textual Analysis (TA), which makes use of statistical techniques, ensures the systematic exploration of the structure of the text (size ...
CLARIZIA, FABIO, DE SANTO, Massimo, NAPOLETANO, PAOLO   +2 more
openaire   +2 more sources

Text Analysis in Tourism and Hospitality: A Comprehensive Review

Journal of Travel Research
Despite numerous studies that adopt text analysis in tourism and hospitality published in the past decade, a comprehensive review of this topic is still lacking.
Jian-Wu Bi, Xue-Er Zhu, T. Han
semanticscholar   +1 more source

Scalable Text Analysis

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
Latent Dirichlet Allocation (LDA) is an extremely popular probabilistic topic model used for a diverse class of appications. While highly effective, one important limitation of LDA is the high memory footprint of its inferencing algorithm, making it difficult to scale to a large dataset.
openaire   +1 more source

What do hotel customers complain about? Text analysis using structural topic model

Tourism Management, 2019
The ability to understand the causes of customers' complaints is critical for hotels to improve their service quality, customer satisfaction, and revenue.
Nan Hu, Ting Zhang, Baojun Gao, I. Bose
semanticscholar   +1 more source

Free text analysis

International Journal of Bio-Medical Computing, 1995
In the context of hospital information systems (HIS) medical free text analysis is reviewed with respect to current automated approaches to literature retrieval, case retrieval and fact retrieval from textual data in the patient record. The Unified Medical Language System (UMLS) project has enormously stimulated current research.
openaire   +2 more sources

Thematic Text Analysis: New Agendas for Analyzing Text Content

, 2020
Antimicrobial compositions comprising 1-(1,2,4-triazolyl-1')-2-phenoxy alkane derivatives as the active ingredient.
P. Stone
semanticscholar   +1 more source