Results 1 to 10 of about 183,026 (117)
Three families of automated text analysis
Since the beginning of this millennium, data in the form of human-generated text in a machine-readable format has become increasingly available to social scientists, presenting a unique window into social life. However, harnessing vast quantities of this highly unstructured data in a systematic way presents a unique combination of analytical and ...
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Automated analysis of the rhythm of advertising text
The purpose of this study is to determine the specificity of the rhythm in advertising texts based on the analysis of rhythm figures using the ProseRhythmDetector computer application, which allows to search for certain rhythm figures in a text of any nature in four languages (English, French, Russian and Spanish).
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Coded Chief Complaints—Automated Analysis of Free-text Complaints [PDF]
Objectives: To describe a new chief‐complaint categorization schema, the development of a computer text‐parsing algorithm to automatically classify free‐text chief complaints into this schema, and use of these coded chief complaints to describe the case mix of a community emergency department (ED). Methods:
David A, Thompson +5 more
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Automated Text Analysis for Consumer Research
Abstract The amount of digital text available for analysis by consumer researchers has risen dramatically. Consumer discussions on the internet, product reviews, and digital archives of news articles and press releases are just a few potential sources for insights about consumer attitudes, interaction, and culture.
Ashlee Humphreys, Rebecca Jen-Hui Wang
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Concise analysis of current text automation and watermarking approaches
AbstractWith ceaseless utilization of web and other online advances, it has turned out to be amazingly simple to imitate, discuss, and convey digital material. Subsequently, confirmation and copyright assurance issues have been emerged. Text is the most widely used media of communication on the web as compared with images and videos.
Mohammed Hazim Alkawaz +4 more
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Automated text-based analysis for decision-making research
We present results from a study on constructing and evaluating a support tool for the extraction of patterns in distributed decision -making processes, based on design criteria elicited from a study on the work process involved in studying such decision-making.
Leifler, Ola, Eriksson, Henrik
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Automated sentiment analysis of short texts
Digital technologies are transforming traditional patterns of user behavior, increasingly shifting communication toward mobile devices that serve as personal assistants and multifunctional tools. This transition highlights the growing need to assess the emotional attitude of transmitted messages.
Aleksey N. Ivutin +2 more
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Semantic Analysis of Text Data with Automated System
This paper describes application of the basic methods of semantic analysis of text data – Porter stemming, frequency semantic analysis, latent semantic analysis and syntactic semantic analysis using an automated system. The system allows analyzing the text using these methods.
Olesya Chernenko, Olga Gordeeva
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Text Mining Techniques for Automated Resume Analysis
Abstract—Resume parser is a technology used to extract and examine data from the resumes of job applicants. This project aims to automate resume screening, making it quicker and more effective for recruiters and HR departments. The method for generating similarity scores between a resume and a job description using natural language processing ...
Anaya Susan George, Navyamol K T
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Application of Automated Text Analysis to Examine Emotions Expressed in Online Support Groups for Quitting Smoking. [PDF]
Vogel EA, Pechmann CC.
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