Department of Computer Science (PG)

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Author: search.filters.author.Radha NSubject: search.filters.subject.Classification

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    ANALYZING DATA MINING ALGORITHMS USING DERMATOLOGY DATASET
    (Department of Computer Science at Nehru Arts and Science, 2010-02-06) Radha N; Rubya T
    Machine Learning plays a major role in several applications. Machine learning algorithms can be used to classify the data with more accuracy. In this paper, Dermatology Dataset is used and model created using Weka and performance is compared among various classifiers
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    CLASSIFICATION OF USER OPINIONS FROM TWEETS USING MACHINE LEARNING TECHNIQUES
    (International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE), 2013-07) Poongodi S; Radha N
    Online Social Network is a standard platform for collaboration, communication where people are connected to each other for sharing their opinion. In general, opinions can be articulated about anything like products, surveys, topics, individuals, organizations and events. There are two main types of textual information in web like facts and opinions. Facts can be expressed in defined terms by the user implicitly. To mine opinion, from the user defined facts is intellectually very demanding. User opinion is valuable data, which can be used for marketing research in business during decision making process. So opinion mining and classification plays a vital role in predicting what people think about products. In this work, basic Natural Language Processing (NLP) techniques and hash tag segments, emoticons are used for classification. The performance comparison of Support Vector Machine (SVM), Naïve bayes (NB) and Multilayer Perceptron (MLP) are done using weka. It is observed that the MLP gives better accuracy to classify the opinion from tweets
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    AN OVERVIEW OF TECHNIQUES USED FOR EXTRACTING KEYWORDS FROM DOCUMENTS
    (International Journal of Computer Trends and Technology (IJCTT), 2013-07) Menaka S; Radha N
    Keywords are a set of major words in a document that give high-level description of the content for readers. Keywords are useful for scanning large documents in a short time. Extracting keywords manually are very difficult and time-consuming process. Therefore, there is in need for process to extract keywords from documents automatically. Keyword extraction is a process in which a set of words are selected that gives the meaning of the whole document. This paper presents an overview of techniques used for keyword extraction.