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Sentiment Analysis in the Medical Domain

Posted By: AvaxGenius
Sentiment Analysis in the Medical Domain

Sentiment Analysis in the Medical Domain by Kerstin Denecke
English | PDF EPUB (True) | 2023 | 151 Pages | ISBN : 3031301862 | 7.6 MB

Sentiment analysis deals with extracting information about opinions, sentiments, and even emotions conveyed by writers towards topics of interest. Medical sentiment analysis refers to the identification and analysis of sentiments or emotions expressed in free-textual documents with a scope on healthcare and medicine. This fascinating problem offers numerous application areas in the domain of medicine, but also research challenges. The book provides a comprehensive introduction to the topic. The primary purpose is to provide the necessary background on medical sentiment analysis, ranging from a description of the notions of medical sentiment to use cases that have been considered already and application areas of relevance. Medical sentiment analysis uses natural language processing (NLP), text analysis and machine learning to realise the process of extracting and classifying statements regarding expressed opinion and sentiment. The book offers a comprehensive overview on existing methods of sentiment analysis applied to healthcare resources or health-related documents. It concludes with open research avenues providing researchers indications which topics still have to be developed in more depth.

Sentiment Analysis in the Medical Domain

Posted By: AvaxGenius
Sentiment Analysis in the Medical Domain

Sentiment Analysis in the Medical Domain by Kerstin Denecke
English | PDF EPUB (True) | 2023 | 151 Pages | ISBN : 3031301862 | 7.6 MB

Sentiment analysis deals with extracting information about opinions, sentiments, and even emotions conveyed by writers towards topics of interest. Medical sentiment analysis refers to the identification and analysis of sentiments or emotions expressed in free-textual documents with a scope on healthcare and medicine. This fascinating problem offers numerous application areas in the domain of medicine, but also research challenges. The book provides a comprehensive introduction to the topic. The primary purpose is to provide the necessary background on medical sentiment analysis, ranging from a description of the notions of medical sentiment to use cases that have been considered already and application areas of relevance. Medical sentiment analysis uses natural language processing (NLP), text analysis and machine learning to realise the process of extracting and classifying statements regarding expressed opinion and sentiment. The book offers a comprehensive overview on existing methods of sentiment analysis applied to healthcare resources or health-related documents. It concludes with open research avenues providing researchers indications which topics still have to be developed in more depth.

Case-Based Reasoning: A Textbook

Posted By: AvaxGenius
Case-Based Reasoning: A Textbook

Case-Based Reasoning: A Textbook by Michael M. Richter
English | PDF(True) | 2013 | 550 Pages | ISBN : 364240166X | 8.3 MB

While it is relatively easy to record billions of experiences in a database, the wisdom of a system is not measured by the number of its experiences but rather by its ability to make use of them. Case-based rea­soning (CBR) can be viewed as experience mining, with analogical reasoning applied to problem–solution pairs. As cases are typically not identical, simple storage and recall of experiences is not sufficient, we must define and analyze similarity and adaptation. The fundamentals of the approach are now well-established, and there are many successful commercial applications in diverse fields, attracting interest from researchers across various disciplines.

Understanding and Improving Information Search: A Cognitive Approach

Posted By: AvaxGenius
Understanding and Improving Information Search: A Cognitive Approach

Understanding and Improving Information Search: A Cognitive Approach by Wai Tat Fu
English | PDF,EPUB | 2020 | 286 Pages | ISBN : 3030388247 | 18 MB

This edited book adopts a cognitive perspective to provide breadth and depth to state-of-the-art research related to understanding, analyzing, predicting and improving one of the most prominent and important classes of behavior of modern humans, information search.