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Research Paper | Computer Science Engineering | Volume 6 Issue 10, October 2017 | Pages: 677 - 682 | India
A Dissimilarity based Hybrid Approach Along with Novel Score Exploration for Event Detection in Social Streams
Abstract: The Event detection scheme will helps to detect an event from large dataset and it is also needed preserve the privacy of reviewers because of the social and security issues. A novel recommendation system has been proposed in which depth pre-processing is implemented. In depth pre-processing, the short texts or internet slang acronyms or abbreviations are processed. These short texts are considered to be a mandatory factor for deciding the polarity of user reviews. In the further processing of the user reviews, rather than using the bag-of-words for dictionary compilation, an improved reinforced dictionary formation technique is implemented. A novel feature extraction technique Novel score Exploration (NSE) has been proposed based on considering the positivity, negativity and neutrality along with the a novel user reviews exploration method which will be processed by segregating the user reviews as a sentences, from which the sentence score, position score, modality score and other features are extracted. These additional feature are effective in improving the classification accuracy.
Keywords: social network services, event, event detection, opinion mining, extraction, short text
How to Cite?: M. Vijaya Maheswari, Dr S. Manju Priya, "A Dissimilarity based Hybrid Approach Along with Novel Score Exploration for Event Detection in Social Streams", Volume 6 Issue 10, October 2017, International Journal of Science and Research (IJSR), Pages: 677-682, https://www.ijsr.net/getabstract.php?paperid=9101702, DOI: https://dx.doi.org/10.21275/9101702