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Childbirth is an intricate process which is marked by an increased cervical dilation rate caused due to steady increments in the frequency and strength of uterine contractions. The contractions may be characterized by its strength, duration and frequency (count) — which are monitored through Tocography. However, the procedure is prone to subjectivity and an automated approach for the classification...
Sentiment analysis is a language processing task which is used to find out opinion expressed in online reviews to categorize it into different classes like positive, negative or neutral. The paper aims to summarize the movie reviews at aspect level so that user can easily find out which aspects of movie are liked and disliked by user. Before finding aspect and its respective opinion of movie, proposed...
As one of the largest Social Media in providing public data every day, Twitter has attracted the attention of researcher to investigate, in order to mine public opinion, which is known as Sentiment Analysis. Consequently, many techniques and studies related to Sentiment Analysis over Twitter have been proposed in recent years. However, there is no study that discuss about sentence pattern of positive/negative...
This paper proposes a methodology for modeling a traditional Chinese medicine (TCM) doctor's diagnosis by classifying a person's health states into 13 Zhengs that are not entirely independent, while the diagnosis data as the decision data are subjective. A method for selecting the optimal modals and the attributes from the multimodal input data for the classification is proposed, and the corresponding...
Typically, a machine learning model of automatic music emotion recognition is trained to learn the relationship between music features and perceived emotion values. However, simply assigning an emotion value to a clip in the training phase does not work well because the perceived emotion of a clip varies from person to person. To resolve this problem, we propose a novel approach that represents the...
The clinical hallmarks of Parkinson's disease (PD) are movement poverty and slowness (i.e. bradykinesia), muscle rigidity and limb tremor. The physicians usually quantify these motor disturbances by assigning a severity score according to validated but time-consuming clinical scales such as the Unified Parkinson's Disease Rating Scale (UPDRS) - part III. These clinical ratings are however prone to...
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