Metadata Extraction and Classification of YouTube Videos Using Sentiment Analysis

Ramalingam, Soodamani (2016) Metadata Extraction and Classification of YouTube Videos Using Sentiment Analysis. In: IEEE International Carnahan Conference on Security Technology : ICCST2016. Institute of Electrical and Electronics Engineers (IEEE), USA.
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MPEG media have been widely adopted and is very successful in promoting interoperable services that deliver video to consumers on a range of devices. However, media consumption is going beyond the mere playback of a media asset and is geared towards a richer user experience that relies on rich metadata and content description. This paper proposes a technique for extracting and analysing metadata from a video, followed by decision making related to the video content. The system uses sentiment analysis for such a classification. It is envisaged that the system when fully developed, is to be applied to determine the existence of illicit multimedia content on the web.


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