Please wait, while we are loading the content...
Please wait, while we are loading the content...
Content Provider | Inflibnet-Shodhganga |
---|---|
Advisor | Rajkumar, N. |
Organization | Anna University |
Researcher | Elakiya, E. |
Date Awarded | 2020-01-01 |
Date of Submission | 2020-01-01 |
Abstract | In every moment, there is a massive volume of data and information shared through social network. Analyzing huge amounts of text data is very tedious, time consuming, expensive and manual sorting leads to mistakes and inconsistency. Document Processing period is still not capable of extracting information as a human reader. Moreover, the importance of content in the document may also vary from one reader to another. The problems of existing Topic Detection and Optimization Algorithms are fixed number of topics, non-hierarchical, designed for continuous problems, domain variable is not finite, dependent sequence of random decision and takes more time for repeated fitness function evaluation and in each iteration probability distribution can change for complex and large problem. The goal of the thesis is to automatically detect topic and subtopic of a corpus in an eminent way. Spider based topic analysis model helps to shift through large sets of data and identity the most frequent topics in a very simple, fast and scalable way. This electronic era deals with large volumes of unstructured text every day. E-mail, social media post, customer feedback, reviews and other information can benefit greatly from this topic analysis technique. The proposed work is focused to design preprocessing framework for Text Mining application. Three major preprocessing tasks like Expansion, Removal and Tokenization (ERT) takes corpus as an input and generate the list of tokens The rising complexity of electronic data has motivated to propose one Optimization Algorithm. Spider Hunting Algorithm has been proposed due to the inspiration given by insect spider s social behavior, dynamic moments with communication and hunting. Spider Hunting Algorithm helps to design Topic model and detect Topic and Subtopic of a corpus. Spider model is trained using BBC news datasets with different topics like business, entertainment, politics, sports and technology. The BBC (dataset contains 510 business articles, 386 entertainment articles, 417 politics news content, 511 sports contents and 401 technology articles totally 2225 news contents). List of unique and most influencing words is identified for each Topic and Subtopic and it will be maintained in the top of the list. Spider Hunting Algorithm reads corpus sentence by sentence and preprocessed using ERT framework. Token frequencies are calculated then detect topic and subtopic. Enhanced Spider Hunting Algorithm has been proposed based on WordNet to improve the topic detection percentage. It depends on the relationship among tokens and association can be drawn between words using synset |
Language | English |
Publisher Department | Faculty of Information and Communication Engineering |
Publisher Place | Chennai |
Access Restriction | Open |
Subject Keyword | Engineering and Technology Computer Science Computer Science Information Systems Text Mining Document Processing |
Content Type | Text |
Educational Degree | Doctor of Philosophy (Ph.D.) |
Resource Type | Thesis |
National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.
Learn more about this project from here.
NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.
Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.
Sl. | Authority | Responsibilities | Communication Details |
---|---|---|---|
1 | Ministry of Education (GoI), Department of Higher Education |
Sanctioning Authority | https://www.education.gov.in/ict-initiatives |
2 | Indian Institute of Technology Kharagpur | Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project | https://www.iitkgp.ac.in |
3 | National Digital Library of India Office, Indian Institute of Technology Kharagpur | The administrative and infrastructural headquarters of the project | Dr. B. Sutradhar bsutra@ndl.gov.in |
4 | Project PI / Joint PI | Principal Investigator and Joint Principal Investigators of the project |
Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon |
5 | Website/Portal (Helpdesk) | Queries regarding NDLI and its services | support@ndl.gov.in |
6 | Contents and Copyright Issues | Queries related to content curation and copyright issues | content@ndl.gov.in |
7 | National Digital Library of India Club (NDLI Club) | Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach | clubsupport@ndl.gov.in |
8 | Digital Preservation Centre (DPC) | Assistance with digitizing and archiving copyright-free printed books | dpc@ndl.gov.in |
9 | IDR Setup or Support | Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops | idr@ndl.gov.in |
Loading...
|