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The Internet was growing with huge amount of information, through Blogs, Twitter tweets, Reviews, social media network and with other information content. Most of the text in the internet was unstructured and anonymous. Author Profiling is a text classification technique that is used to predict the profiling characteristics of the authors like gender, age, country, native language and educational...
Global connectivity provided praxis for data transactions. Data or information is available in different forms like text, image, audio, video etc. Security mechanisms are aimed at security algorithms with an assumption that the information is in bit stream. Human perception deals with information other than bit stream. In the transaction process of information, users allow human understandable format...
Quantum cryptography renders a cryptographic solution which is imperishable as it fortifies prime secrecy that is applied to quantum public key distribution. It is a prominent technology wherein two entities can communicate securely with the sights of quantum physics. In classical cryptography, bits are used to encode information where as quantum cryptography i.e. quantum computer uses photons or...
Online product reviews provide data about the users perspective on the features that were experienced by them. Product features and corresponding opinions form a major part in analyzing the online product reviews. Extracting features from a huge number of reviews is categorized into three main categories such as utilizing language rules, sequence labeling and the topic modeling. Latent Dirichlet Allocation...
Semantic textual similarity measures the semantic equivalence between a pair of sentences. Lexical overlapping approach evaluates similarity among a sentence pair depending on the number of terms the sentence pair shares. The similarity can be measured at same level of abstraction or at multi levels. This paper presents the influence of token similarity measures using lexical overlap semantic similarity...
Summarization is a process of generating condensed form of a given text document, which retains its information and overall meaning. Document summarization approaches are broadly classified into two i.e. extractive summarization approach and abstractive summarization approach. In this paper, we performed single document summarization to generate summary of Telugu text document by using extractive...
Document classification is one of the prominent area of research evolved as a result of exponential growth in the usage of electronic documents. Classification of documents demands for understanding of document units by removing insignificant data and improving computational efficiency. This paper deals with the approaches aimed at dimensionality reduction (DR) in document units for Telugu. Bag of...
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