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Reka, M.
- A Visual Search Engine for Searching Tamil Web Pages Using Web Community Mining and Natural Language Processing
Abstract Views :162 |
PDF Views:3
Authors
Affiliations
1 Dept of M.C.A. in K.S. Rangasamy College of Technology, Tiruchengode-627 315, IN
1 Dept of M.C.A. in K.S. Rangasamy College of Technology, Tiruchengode-627 315, IN
Source
Software Engineering, Vol 2, No 8 (2010), Pagination: 169-175Abstract
With the growing Tamil interest and Internet, the amount of Tamil data doubles every 12-14 months and will increase even more dramatically in the coming year. With an enormous amount of Tamil data stored in web pages, it is increasingly important to develop powerful tools for analysis of such Tamil data and mining interesting patterns from it. There is a strong interest in employing methods of data mining to generate models of Tamil related web pages forming web communities. Web community refers collection of web pages of similar interest implicitly or explicitly. This paper proposes a new initiative for forming Tamil web communities with concise introduction about web community mining. The main intention of this paper is to employ web community mining technique for providing better results in search engines and to visualize the search engine results as Tamil web communities using a suitable visualization tool. This paper exploits visualization, web community mining and natural language processing (NLP) techniques. Visualization is the graphical presentation of information, with the goal of providing the viewer with a qualitative understanding of the information contents. This paper focuses on selecting the appropriate visualization tool best suited for displaying search engine results using visualization techniques. Various visualization techniques are also described in this paper. This community mining will yield benefits to all Tamil lovers,who want to be well-versed in a Tamil domain of his own interest. Tamil research publications and literatures in Tamil are grouped using bibliometric analysis. By forming people communities (i.e., people belonging to similar interest) using social network analysis,the domain knowledge in Tamil can be shared. Hence, web community mining may play an important role in forming Tamil Web Communities for gathering Tamil resources and documents of similar interest from the ocean of web very easily.Keywords
Visualization, Search Engine, Web Community Mining, Information Retrieval, Tamil Communities, Social Network Analysis, Bibliometric Analysis, Community Mining, and Natural Language Processing (NLP), Tree Graph, Map Graph, Bi-Partite Graph.- Emotion Classification of Twitter Data Using Lexicon Based Approach
Abstract Views :172 |
PDF Views:1
Authors
M. Reka
1,
V. Srividhya
2
Affiliations
1 Department of Computer Applications, K.S Rangasamy College of Arts & Science for Women, Tiruchengode - 637215, IN
2 Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore - 43, IN
1 Department of Computer Applications, K.S Rangasamy College of Arts & Science for Women, Tiruchengode - 637215, IN
2 Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore - 43, IN
Source
Software Engineering, Vol 10, No 4 (2018), Pagination: 69-71Abstract
The main aim of sentiment analysis is to determine the attitude of a speaker or a writer with respect to some topic. The sentiment classification has been classified into two types which are emotional classification and polarity classification. This research work has been done by using emotional classification, which is used to classify the emotions such as joy, fear, disgust, anger, sad and surprise. These six types of emotions are classified using twitter dataset. The classified emotions are visualized using graph. The work is focused on analyzing the tweets of people for Donald Trump and Hillary Clinton and classifies the sentiment from tweets.