Sentiment Analysis for Visuals using Natural Language Processing
Hari N. Iyer, Mihir Gandhi, Sindhu Nair · International Journal of Computer Applications · 2015
In this paper, the aim is to build a hybrid Word Sense Disambiguation(WSD) technique, which is acutely focused on text associated with a certain form of visual.Natural language processing helps establish a context among the data elements that are aggregated to establish a certain meaning.Analyzing transcripts of visuals being uploaded in real-time saves resources and time required to sort content based on genres or emotions.The training data lays a foundation to rate the polarities of elements, on top of which the dictionary expands as an when new content is supplied to the apparatus.Third-party intelligence is combined with the dictionary to experience growth even when the consumer usage is idle.All these entities are mutually intertwined to ensure maximum utility and output.