OpinAIS: An Artificial Immune System-based Framework for Opinion Mining
نویسندگان
چکیده
منابع مشابه
OpinAIS: An Artificial Immune System-based Framework for Opinion Mining
— This paper proposes the design of an evolutionary algorithm for building classifiers specifically aimed towards performing classification and sentiment analysis over texts. Moreover, it has properties taken from Artificial Immune Systems, as it tries to resemble biological systems since they are able to discriminate harmful from innocuous bodies (in this case, the analogy could be established...
متن کاملSMACk: An Argumentation Framework for Opinion Mining
The extraction of the relevant and debated opinions from online social media and commercial websites is an emerging task in the opinion mining research field. Its growing relevance is mainly due to the impact of exploiting such techniques in different application domains from social science analysis to personal advertising. In this demo, we present our opinion summary application built on top o...
متن کاملAn Novel Artificial Immune System Approach to Robust Data Mining
We introduce several enhancements to deal with some of the weaknesses of previous artificial immune system models. Then, we present a framework for the accomplishment of several classical data mining tasks, such as frequent itemset discovery and robust clustering, based on ideas inspired from the natural immune system coupled with soft computing. For instance, we implement an artificial immune ...
متن کاملAn Affinity Based Complex Artificial Immune System
This paper proposes an affinity based complex artificial immune system considering the fact that the different eptitopes located on the surface of antigen can be recognized by a set of different paratopes expressed on the surface of immune cells. A neighborhood set consisting of immune cells with different affinities to a certain input antigen is built to simulate the nature immune behavior. Fu...
متن کاملAn Artificial Immune System Based Approach for English Grammar Checking
Grammar checking and correction comprise of the primary problems in the area of Natural Language Processing (NLP). Traditional approaches fall into two major categories: Rule based and Corpus based. While the former relies heavily on grammar rules the latter approach is statistical in nature. We provide a novel corpus based approach for grammar checking that uses the principles of an Artificial...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Interactive Multimedia and Artificial Intelligence
سال: 2015
ISSN: 1989-1660
DOI: 10.9781/ijimai.2015.333