Soft Computing Techniques for Duplicate Question Detection in Transliterated Bilingual Data

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By way of the increased penetration of the Internet, social networking websites have become a constitutive and indispensable concern of our lives. Social networks make sharing of information, communication and collaboration straightforward and opportune. Social media websites have grown significantly popular over the last decade as the key open source platforms for general information and knowledge sharing. Social media news feeds and question answering sites are increasingly becoming popular and valuable resources for enriching and enhancing the knowledge base. Teaching-learning process is now immensely influenced by the emerging role of social media and cannot be ignored. Increased accessibility of the internet and the ubiquitous networks are major factors to change the pedagogical and learning ecosystem's dynamics . Community question answering (CQA) as a crowd- sourced service has emerged as a collective intelligence social system which facilitates participation of volunteers to express their knowledge and clear their uncertainties regarding some topics. The alternate perspectives promotes receptiveness in sharing and learning, interactions and collaborations which describe the advantages of intensive use of a typical Q&A, website as open source of information. But on the flip side, it is laborious and long-drawn-out task to segregate the semantically duplicate information, best answers/semantically matched questions and experts for better user experience . These Q&A, forums however facilitate instant information, comprehend issues related to higher response time and compromised quality of answers with the influx of questions and answers. Furthermore, semantically duplicate content falsify the mechanism employed for filtering. Thus the present needs shifted the point of focus towards the hitches of 'filter failure' from the issues of 'information overload'. To build an intelligent, proficient and semantic filtering solutions that can adjust, realign the responses and give options as per user's interest has become pivotal.