One significant method of expressing the opinion of the users of social network is expressing true feelings or emotions through chats and comments for images, status or videos that has been uploaded to social network. This will increases the effectiveness of the communication among users since they have no face-to-face interaction. Text processing techniques are used to identify emotion which expressed through text. The research proposes an approach to get overall emotion from comment text towards an image, which uploaded to social network. The new methodology was developed as an enhanced extension of the previous works and using appropriate improvement and extension to them with Latent Semantic Analysis (LSA) because previous researches have proven that LSA is a light weight approach. And it is believed that, online emotion predicting systems must be light weight. The research achieved more efficiency than previous works due to light weight of the methodology, also introduced a prototype of GUI. Also the topic is open for future enhancement.
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