Bi-lingual Information Retrieval System for English and Italian Tweets using Python
Swati Sharma1,Vinod Kumar2
1Swati Sharma, Information technology, M.I.E.T, Meerut, India.
2Vinod Kumar, Computer Science and Engineering, M.I.E.T, Meerut, India.
Manuscript received on July 20, 2019. | Revised Manuscript received on August 10, 2019. | Manuscript published on August 30, 2019. | PP: 1132-1135 | Volume-8 Issue-6, August 2019. | Retrieval Number: F8343088619/2019©BEIESP | DOI: 10.35940/ijeat.F8343.088619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Bi-lingual text analysis is competent in present scenario as the information gathered in various languages is flattering. The bi-lingual text classification is yet an obscure area whereas the text classification in a single language is well known. The concept of bi-lingual text has been left in a shell, apart from the lame stream of both theory as well as practical. The use of social media is increasing day by day and thus the amount of data too in increasing with a rapid rate. So, it is an alarming stage to analyze the big data and extract the useful information. In this paper, we are developing a dynamic information retrieval model and extricating the sentiments of people on global warming of English and Italian tweets and corresponding to it its heat map and affinity map are generated as it produces the output after harmonizing different objects which diverge in the rung of relevancy to the question.
Keywords: Big Data, CSS, Intent analysis, NLP, Pinterest.