@conference {(International Science Index):http://waset.org/abstracts/41465,
	title = {A Proposed Approach for Emotion Lexicon Enrichment},
	booktitle = {ICDAR 2016: International Conference on Document Analysis and Recognition},
	volume = {2},
	number = {1},
	year = {2016},
	note = {<p>n/a</p>
},
	month = {Jan 12-13, 2016},
	pages = {1786},
	publisher = {Fayoum University},
	organization = {Fayoum University},
	address = {Johannesburg, South Africa},
	abstract = {<p>Document analysis is an important research field that aims to gather information by analyzing 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 enhancing the lexicon based approach. 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>
},
	keywords = {document analysis, emotion detection, NRC lexicon, sentimental analysis, WEKA tool},
	issn = {1307-6892},
	url = {http://waset.org/abstracts/Computer-and-Information-Engineering},
	author = {Amr Mansour Mohsen and Hassan, Hesham Ahmed and Amira M Idrees}
}
