Abstract
This paper provides an introduction to types of authorship analysis which is important in many applications of NLU, QA, Plagiarism detection etc. Author profiling helps to identify the traits of an author in the given text/texts, which finally leads to predict whether those traits are present in other text that reflects the important characteristics of the original author. The original author normally observed to have some sort of his impact or impression on dependent writers or authors The main focus of this paper is identifying the weight of impact of original author on dependent author. Word to vector technique is been used in this work to identify impact of original author on dependent authors.
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Acknowledgement
Authors would like to acknowledge and thanks to CSRI DST Major Project sanctioned No. SR/CSRI/71/2015(G), Computational and Psycholinguistic Research Lab Facility supporting to this work and Department of Computer Science and Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, Maharashtra, India.
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Landge, M.B., Naik, R.R., Namrata Mahender, C. (2019). Author Impression on Dependent Authors Using Wordtovector Method. In: Santosh, K., Hegadi, R. (eds) Recent Trends in Image Processing and Pattern Recognition. RTIP2R 2018. Communications in Computer and Information Science, vol 1037. Springer, Singapore. https://doi.org/10.1007/978-981-13-9187-3_61
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DOI: https://doi.org/10.1007/978-981-13-9187-3_61
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