Analysis and Classification of User Comments on YouTube Videos
K.M. Kavitha, Asha B. Shetty, Bryan Abreo, Adline D’Souza, Akarsha Kondana
Abstract
We categorize the user comments posted on YouTube video sharing website based on their relevance to the video content given by the description associated with the video posted. Comments are analysed for polarity and are further segregated as positive or negative. A comparative analysis of classifier using the Bag of Words and Association List approaches is presented.
Topics & Concepts
Computer scienceCategorizationInformation retrievalClassifier (UML)Relevance (law)World Wide WebSentiment analysisMultimediaArtificial intelligenceLawPolitical scienceSentiment Analysis and Opinion MiningAdvanced Text Analysis TechniquesSpam and Phishing Detection