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Sentiment analysis is a process of identifying and categorizing opinions expressed in a piece of text. It classifies the text into positive, negative or neutral. Lexicon-based and Supervised Machine Learning-based are the two main approaches in sentiment analysis. Bag-of-words model is used to represent the text as a vector of independent words and machine learning algorithms are used for classification...
Massive amount of diagnostic data is generated everyday as a part of daily diagnosis, related to various types of diseases and disorders. For knowledge discovery from this diagnostic data, efficient data mining techniques play a very important role. Ensemble classifier is one of the data classification techniques related to data mining, in which decision of multiple base classifiers is combined for...
Human action recognition is a challenging task not only because of the factors like changes in intensity, background, etc but also because of the variability in the behavioural patterns among the objects in the image which in turn affects the recognition accuracy. Analyzing all those factors and identifying the action is termed as activity recognition. In this paper, we present an approach of activity...
To retrieve videos from database, effective video analyzing, indexing and retrieval techniques are required. Video retrieval using query-by-image is not successful as it gives result of videos with less relevancy and accuracy. A method is proposed where input is a video clip, to achieve the high quality of content based video retrieval by discovering the temporal patterns in the video contents. On...
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