CLFeb 20, 2014
Detecting Opinions in TweetsAbdelmalek Amine, Reda Mohamed Hamou, Michel Simonet
Given the incessant growth of documents describing the opinions of different people circulating on the web, including Web 2.0 has made it possible to give an opinion on any product in the net. In this paper, we examine the various opinions expressed in the tweets and classify them positive, negative or neutral by using the emoticons for the Bayesian method and adjectives and adverbs for the Turney's method
AIOct 25, 2012
A Biomimetic Approach Based on Immune Systems for Classification of Unstructured DataMohamed Hamou, Abdelmalek Amine, Ahmed Chaouki Lokbani
In this paper we present the results of unstructured data clustering in this case a textual data from Reuters 21578 corpus with a new biomimetic approach using immune system. Before experimenting our immune system, we digitalized textual data by the n-grams approach. The novelty lies on hybridization of n-grams and immune systems for clustering. The experimental results show that the recommended ideas are promising and prove that this method can solve the text clustering problem.