Homs: Hindi opinion mining system

Vandana Jha, . and Manjunath, N. and Deepa Shenoy, P. and Venugopal, K.R. (2016) Homs: Hindi opinion mining system. 2016 international conference on microelectronics, computing and communications (MicroCom). pp. 1-5. ISSN 978-1-4799-8349-0

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Official URL: http://10.1109/ReTIS.2015.7232906

Abstract

In the last few years, electronic documents have been the main source of data in many research areas like Web Mining, Information Retrieval, Artificial Intelligence, Natural Language Processing etc. Text Processing plays a vital role for processing structured or unstructured data from the web. Preprocessing is the main step in any text processing systems. One significant preprocessing technique is the elimination of functional words, also known as stopwords, which affects the performance of text processing tasks. An efficient stopword removal technique is required in all text processing tasks. In this paper, we are proposing a stopword removal algorithm for Hindi Language which is using the concept of a Deterministic Finite Automata (DFA). A large number of available works on stopword removal techniques are based on dictionary containing stopword lists. Then pattern matching technique is applied and the …

Item Type: Article
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms Laxmi Kamble
Date Deposited: 15 Sep 2021 06:31
Last Modified: 15 Sep 2021 06:31
URI: http://eprints-bangaloreuniversity.in/id/eprint/9515

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