WASET
	%0 Journal Article
	%A Amr Mansour Mohsen and  Hesham Ahmed Hassan and  Amira M. Idrees
	%D 2016
	%J International Journal of Computer and Information Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 109, 2016
	%T A Proposed Approach for Emotion Lexicon Enrichment
	%U https://publications.waset.org/pdf/10005446
	%V 109
	%X Document Analysis is an important research field that aims to gather the information by analyzing the data in documents. As one of the important targets for many fields is to understand what people actually want, sentimental analysis field has been one of the vital fields that are tightly related to the document analysis. This research focuses on analyzing text documents to classify each document according to its opinion. The aim of this research is to detect the emotions from text documents based on enriching the lexicon with adapting their content based on semantic patterns extraction. The proposed approach has been presented, and different experiments are applied by different perspectives to reveal the positive impact of the proposed approach on the classification results.
	%P 242 - 251