Documents Retrieval Using the Combination of Two Keywords
- Rohitash Chandra Bhensle
- Saikiran Chepuri
- Menta Sanjeeva Avinash
Search Engine, Information Retrieval (IR), Ranking, Natural Language Processing
In the search engine, the NLP (Natural Language Processing) and statistically-based systems are used for making the query. The statistical system is recognizing the terms for searching and also it provides the stems and singular and plural forms of words. The statically based system may also provide the weights of every term. In the Natural Language processing system the parts of speech, identifies objects, verbs, subjects, agents and synonyms and alternating forms for appropriate nouns are tags. Then it is able for creating an unambiguous representation of submitted query and the term weights are computed. For the particular query request the list of the documents are retrieve on the search engine from the database. Using the keywords the search engine obtained the results for submitted query. The Stemming algorithms and Stop-lists/Stop-words are used for reducing the consuming of size of the disk. ‘the’, ’is’, ‘an’ are the example of stop-words and ’reading’, ‘playing’, ’watches’ are the examples of stemming algorithms. In the Information Retrieval system the vector space model and the Boolean model are using for the documents ranking. The search engine optimization is started with submitting the keywords on the search engine that should be very clear and understanding for the query processing and also known that which keywords are more relevant and will performs well for better results. So, in this paper, for retrieving the documents from the database the new technique, combination of the ‘two keywords’ are proposed and rearranges the list of documents in the order of weight.
Rohitash Chandra Bhensle, Saikiran Chepuri, Menta Sanjeeva Avinash. "Documents Retrieval Using the Combination of Two Keywords".INTERNATIONAL JOURNAL OF ENGINEERING DEVELOPMENT AND RESEARCH ISSN:2321-9939, Vol.2, Issue 3, pp.3201-3206, URL :https://rjwave.org/ijedr/papers/IJEDR1403047.pdf
Volume 2 Issue 3
Pages. 3201-3206
