Categorization of News Articles using Sentiment Analysis

Authors(2) :-Yashodhara Haribhakta, Kiran Shriniwas Doddi

The advent use of new online social media such as articles, blogs, message boards, news channels, and in general web content has dramatically changed the way people look at various things around them. Today, it’s a daily practice for many people to read news online. People's perspective tends to undergo a change as per the news content they read. The majority of the content that we read today is on the negative aspects of various things e .g. corruption, rapes, thefts etc. Reading such news is spreading negativity amongst the people. Positive news seems to have gone into a hiding. The positivity surrounding the good news has been drastically reduced by the number of bad news. This has made a great practical use of Sentiment Analysis and there has been more innovation in this area in recent era. It traditionally emphasizes on classification of text document into positive and negative categories. The objective of this paper is to provide a platform for serving good news and create a positive environment. This is achieved by finding the sentiments of the news articles and filtering out the negative articles which carry negative sentiments. This would enable us to focus only on the good news which will help spread positivity around society and would allow people to think positively. To achieve our objective, we have proposed an algorithm for classification of News articles. This includes data aggregator tool and processing engine at the server side as a Sentiment classifier and a platform for user where positive news being served to read.

Authors and Affiliations

Yashodhara Haribhakta
Department of Computer Engineering and Information Technology, College of Engineering Pune, Pune, Maharashtra, India
Kiran Shriniwas Doddi
Department of Computer Engineering and Information Technology, College of Engineering Pune, Pune, Maharashtra, India

Document classification, Sentiment Analysis, Support vector machine (SVM)

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Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 2017-10-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 52-60
Manuscript Number : CSEIT17255
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Yashodhara Haribhakta, Kiran Shriniwas Doddi, "Categorization of News Articles using Sentiment Analysis", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp.52-60 , September-October.2017
URL : http://ijsrcseit.com/CSEIT17255

Industrial Automation using with Programmable Switching Control

Authors(5) :-Sahil Saini, Neha Bharti, Sunikshita Katoch, Gagandeep Singh, Harpreet Kaur Channi

In this paper, we have illustrated how to switch industrial loads using a user programmable logic control device for sequential operation. This operation is generally used for repetitive nature of work. Programmable logic controllers used in industrial applications are very expensive for simple operations like sequential switching of loads. In this project, we demonstrate the working of this simple operation using a microcontroller of 8052 family. The development of this application requires configuration of the program through input switches. In industries, there are many tasks are carried out which requires some repeated operation in various orders and time intervals. For example, certain loads need to be switched ON/OFF in specific time intervals. To achieve this, microcontroller is programmed in such a way that the loads a can be operated in three modes: Set mode, Auto mode and Manual mod. In set mode, through timers, the machinery works based on input time set by the user where as in auto mode it works on default time settings and finally in the manual mode it functions while respective switches are pressed depending on the user’s need and flexibility. All the modes and status of loads are displayed on an LCD. Thus, tasks performed by costly PLCs can now be achieved using a microcontroller making the device cost effective by adding C language to this project. Further the project can be enhanced by interfacing it with a GSM modem where by sending an SMS to the control system we can select the mode and timing remotely.

Embedded Systems, PCB, Willar Software, Keil Software, Microcontrollers.

Publication Details

Published in : Volume 2 | Issue 5 | September-October 2017
Date of Publication : 0000-00-00
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) :
Manuscript Number : CSEIT17255
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Sahil Saini, Neha Bharti, Sunikshita Katoch, Gagandeep Singh, Harpreet Kaur Channi, "Industrial Automation using with Programmable Switching Control", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 5, pp., September-October.2017
URL : http://ijsrcseit.com/CSEIT17255

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