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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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Research Paper

Research and thinking of smart residential building technology

Smart Residential Building is emerging technology growing continuously now. It integrates of the many new technologies through building networking for rising human’s quality of living, therefore there have several comes researching in various technologies to use to the good home system . Accordingly, this paper reviews various topics on smart building/home technologies from surveying for smart residential building /home research project. This research paper also deals with the history and the concept of smart residential buildings. Smart buildings or at least discussion of the concept originated in the early 1980s.

Published by: Nishant Kumar Singh

Author: Nishant Kumar Singh

Paper ID: V6I3-1174

Paper Status: published

Published: May 10, 2020

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Research Paper

Evaluation of bucking characteristics of thin cylindrical shells with cutouts for aerospace applications

The aerospace industry finds a wide application of thin cylindrical shells. Cutouts in various structures are also an important application particularly in aircraft and aerospace industry which is a significant area of research today. The load-carrying capacity of these structures is determined by the buckling characteristics of that specimen mainly in aircraft since the primary cause of failure is elastic buckling. Even though cut-outs in these structures decrease the buckling strength due to the stress concentrations, it cannot be avoided in many engineering applications particularly in aircraft components. Cylindrical shells made of mild steel are considered for the study. In this paper the buckling behavior of the shells made without cutouts, with cutouts, and with semi cutouts of constant diameter are studied.

Published by: Raj Pranav, Ashok Kanna, Akshay Kumar, Ajith Raj R.

Author: Raj Pranav

Paper ID: V6I3-1168

Paper Status: published

Published: May 10, 2020

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Others

Android application based vehicle driver drowsiness detection system through Image Processing

Conduct the simulation experiment and analyze the data to search for an automatic detection system based on driver performance, human conduct, and emotions. A design of drowsiness detection systems is the goal of this venture. A driver with a Drowsy or sleepy mode can not tell when an uncontrolled sleep will take place. Injury crashes in fall asleep are very grave. Accompanying fatigue or drowsiness- related crashes[1] can result in 1.200 deaths and 77.000 injuries per year in recent statistics. Driver fatigue is responsible for more than 25 percent of road accidents[2]. Through alert the driver about his / her drowsiness, we will can the risk of an accident. The main concept of this system is the simulation of somnolence detection with image processing and the detection of somnolence. Furthermore, the person authorized to locate the vehicle can be notified by GPS. This system helps avoid most injuries, thereby protecting human lives and increasing personal suffering. With this system, the car driver's eyes are monitored by camera, and we detect driver drowsiness symptoms early enough to avoid accidents by developing an algorithm. Within a specified time interval the car driver's eyes are closed by more than80 percent. This project will help in advance in detecting driver fatigue and give alarming signals in the form of a sound and an LED blinking. The alarm is manually not immediately deactivated. A deactivation key is used to trigger the alert for this reason. The machine assumes that the operator sleeps and sends a warning message.

Published by: N. Suresh, Gayam Akil, M. Gnana Adithya, B. Vijaya Krishna

Author: N. Suresh

Paper ID: V6I3-1158

Paper Status: published

Published: May 10, 2020

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Review Paper

Speech recognition system using Deep Neural Network

Speech recognition is the property of a system to identify the words spoken by the user in a scripted language and convert the data to a readable and writable format. The work carried out was able to convert the speech to text. Using the speech as instructions to perform many web-based services, system bound tasks. Deep learning with deep neural networks coded in python is implemented in this paper which makes the system more reliable, robust against noise, and with an accuracy of 70%.

Published by: Dhanush N. D., Jagruth S., Rohini Hallikar

Author: Dhanush N. D.

Paper ID: V6I3-1151

Paper Status: published

Published: May 10, 2020

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