L. B. Krithika ¹, Anand Mahendran ², A. Kalyana Vasanth ¹, G. R. Reddy Harish ¹, T. Hariharan ¹

Affiliations
1 School of Information and Technology and Engineering, IN
2 School of Computing Science and Engineering, VIT University, Vellore, Tamilnadu, IN

Abstract

Natural language processing (NLP) has become a main context for many websites. When we consider the case of social networking websites, many posts and conversations in the present day lacks in punctuation and vocabulary. People use short forms such as wru (where are you), hru (how are you) etc., in messages and comments in social networking sites. The comments with respect to the posts need to be categorized into positive, neutral or negative comments. Suppose a person post a status and people start commenting on it, there should be a measure above the post indicating the percentage of positive, negative and neutral comments. Hence, there is need for developing a tool-tip translator, which expands such short forms when mouse cursor is placed on them. There is also a need for developing a text classification system that classifies text based on polarity. Positive comments will be marked in green colour and negative comments will be marked in red colour and neutral in yellow. This paper shows how to implement such a tooltip translator and text classification system.

Keywords

Natural Language Processing, Opinion Mining, Tooltip Translator, Sentiment Analysis, Social Networking

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Jayabrabu Ramakrishnan ¹, Anand Mahendran ²

Affiliations
1 College of Computer Science and Information Systems, Jazan University, Jazan, SA
2 School of Computer Science and Engineering, VIT University, Vellore, Tamil Nadu,, IN

Abstract

Objectives: The Implementation of Research Management System (RMS) is due to the existence of major drawbacks in the present system which includes manual process for carrying out various technical tasks. To carry out such huge tasks manually may delay in time and needs for more clerical works. The major issue in the implementation of such Online Research Management System is because of non – adaptation (which takes care of all the issues mentioned in legacy systems) and incorporating the latest technology in the existing system. The existing system is based on manual evaluation process. Such a manual process consists of collection of data and integration of various data in the form of black and white copies. Findings: To overcome these issues, the proposed system, implementation of the Online Research Management System will be helpful to overcome the above-mentioned drawbacks. The aim of the Online Research Management Systems is to make the process faster and paperless frameworks process. Applications/Improvements: In this regard, the implementation will be helpful in carrying out the following important tasks such as funding scheme, proposal creation, proposal administration, financial management, reports generation and tracking system. Such an automated system will be benefited to the end user side and administration side in timely base.

Keywords

Automated System, Financial Management, Intelligent based System, Proposal Creation, Research Management System, Reports Generation.

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