|International Journal of Computer Applications
|Foundation of Computer Science (FCS), NY, USA
|Volume 128 - Number 6
|Year of Publication: 2015
|Authors: Hari Iyer, Mihir Gandhi, Sindhu Nair
Hari Iyer, Mihir Gandhi, Sindhu Nair . Sentiment Analysis for Visuals using Natural Language Processing. International Journal of Computer Applications. 128, 6 ( October 2015), 31-35. DOI=10.5120/ijca2015906581
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.