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Recent Papers

Case Study

Detecting hate speech and offensive language on Twitter using Machine Learning

In this work, we argue for a focus on the latter problem for practical reasons. We show that it is a much more challenging task, as our analysis of the language in the typical datasets shows that hate speech lacks unique, discriminative features and therefore is found in the ‘long tail’ in a dataset that is difficult to discover. We then propose a Deep Neural Network structure serving as feature extractors that are particularly effective for capturing the semantics of hate speech. Our methods are evaluated on the largest collection of hate speech datasets based on Twitter and are shown to be able to outperform state of the art by up to 6 percentage points in macro-average F1, or 9 percentage points in the more challenging case of identifying hateful content. This aims to classify textual content into non-hate or hate speech, in which case the method may also identify the targeting characteristics (i.e., types of hate, such as race, and religion) in the hate speech.

Published by: S. Avinash, Satarup, Nilanjana Adhikary

Author: S. Avinash

Paper ID: V6I3-1195

Paper Status: published

Published: May 14, 2020

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Case Study

C-Shaped canal management in endodontics

Introduction: Thorough knowledge of the root canal morphology is essential for successful endodontic therapy. C-shaped canal configuration is commonly seen in mandibular second molars. These canals are challenging to negotiate, debride, and obturate because of the high incidence of anastomoses, lateral canals, and apical deltas. The inability to detect and debride C-shaped canal anatomy can lead to endodontic failure. Case report: This case report highlights the management of a case of C- shaped canal configurations using thermoplastics gutta-percha technique. Conclusion: Complex intricacies and diverse morphology of C shaped canals can be managed with advanced irrigation and obturation techniques.

Published by: Dr. Madhuri B. Wavdhane, Dr. Pradnya V. Bansode, Dr. Seema D. Pathak, Dr. Sameer S. Khedkar

Author: Dr. Madhuri B. Wavdhane

Paper ID: V6I3-1173

Paper Status: published

Published: May 14, 2020

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Review Paper

Security issue in watermarking: An overview

This paper provides the conceptual framework on image watermarking which is widely used for security purposes within the epoch of data and Communication Technology. Image watermarking is predicated on the concept that the signal may carry several different watermarks at the identical time. The signal is also audio, pictures or video. A security issue in watermarking is because of the enlargement of the internet within the present paper the primary phase detailed description of watermarking has been on condition that data set are prepared on which watermarking technique is executed. In the second phase detailed working of the various techniques of image watermarking have to locate a selected watermarking technique which is able to provide appropriate ends up in term of PSNR and interval and various attacks are tested on images so implemented method must stand against various attacks. In the third or final phase reverse processes are executed to extract host and watermark images. There are many viable attacks. Spotting is an algorithm that is applied to the attacked signal to infusion the watermark from it. During this research paper, it focused to increase the worth of PSNR because in existing techniques It's clear from the assessment that the proposed technique is long way stable than the prevailing technique.

Published by: Mansi

Author: Mansi

Paper ID: V6I3-1144

Paper Status: published

Published: May 14, 2020

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Case Study

Three-dimensional additive manufacturing

The technology we used in this project was once a dream dreamt by several people, wondering whether they could bring their imagination into reality. This report gives us detailed information about using a three-dimensional printer to create an object. The method we have used here is FDM(Fused Deposition Modelling).

Published by: Jayasangeetha J., Swarna Pragna, Marlapati G. Pravallika, M. Jayashree

Author: Jayasangeetha J.

Paper ID: V6I2-1464

Paper Status: published

Published: May 13, 2020

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Research Paper

Sentiment Analysis on Mobile Reviews using Naive Bayes Classification

Now a day, due to increasing technology we can get the opinions of the users all over the world using web mining. People are always curious and show a keen interest in what people perceive various aspects of living and non-living things. In order to understand and analyze the various traits and varying personalities, opinion mining is needed. The main objective of Sentiment Analysis on Mobile Reviews using Naïve Bayes Classification is to develop a system that mines the positive as well as negative reviews of users. For this purpose, we first collect the data from the famous e-commerce websites and extract the reviews posted by users related to different mobile handsets. In this process, we define some common features like Camera, Battery Life, Overall Performance, and Design and then find related reviews as a dataset for the analysis purpose. Negative and Positive words that are commonly used for expressing opinions are also collected. This system provides a sentimental analysis on various smartphone reviews diving them positive or negative or neutral using Naïve Bayes Classification. This is basically being obtained by studying and analyzing the reviews posted by different users. Analysis of different words coupled in a sentence represents various sentiments and experiences of users and impacts the products available in the market. This analysis compiles a structural modeling approach and Bayesian Interface System to identify the polarity of the opinion which subsequently classifies positive and negative opinions.

Published by: Erukonda Harsha Praneetha, Chokkakula Pushpa, Dundi Swathi, Bushi Deepika, Dr. B. Esther Sunanda

Author: Erukonda Harsha Praneetha

Paper ID: V6I3-1181

Paper Status: published

Published: May 10, 2020

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Research Paper

Overcoming challenges at workplace

Workplace challenges are inevitable - they are physical, mental and environmental. Workplace is full of challenges and uncertainties and as an employee one should accept and agree workplace challenges is integral part of employment. This article discusses on few of the challenges that prevail in the workplace and how to overcome it. Workplace issues are a common stress for many. This article discusses on the common challenges that prevails at workplace and the ways to overcome it.

Published by: S. Ramesh, C.V. Daniel Devakumar, Annie Valsan

Author: S. Ramesh

Paper ID: V6I3-1176

Paper Status: published

Published: May 10, 2020

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