International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 04 | Apr -2017
p-ISSN: 2395-0072
www.irjet.net
Geo-notifications Location Based Services Using Sentiment Analysis Priyanka Mohite, Adarsh Nair, Niyaj Shaikh, Prof S.B.Khedkar Computer Department, Navsahyadri, Pune University,india.
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Abstract - In this article, we provide the location based services to the user. The service is provides as per client requirement using the to-do-list when user ask for it. This application is dealing with the geo-notification based services and it is reliable to provide the location based information to the user, which will help to identify that the client enter or leave the Dedicated zhone .the technology behind providing location based services is called as Geofencing. This paper present new way of monitoring the user's location in the environment. here the mobile phone’s are considered as client's, they are responsible to locate itself. the service offers a discount and the probability of the service selected by user would significantly improved which lead to changes of the service status. this article introduce the new way of Location Specific information with the sentiment analysis. Sentiment analysis is nothing but the collecting the reviews of the clients this will help to analyze the services based o the user's reviews.
every domain because opinions are central to almost all human activities. They are key influences of our behavior. Sentiment analysis uses natural language processing and text analysis to identify and extract information about a particular field of interest. this application is also used to rate the particular store that we visit based on that the best services will be provided to the client. for the rating purpose the sentiment analysis is used. Thus will help to generate the user's feedback as a rating. It help to advertisement of the shops based on the rating.
2. Concept Of Geofencing The geo-notification based services are reliable to provide the location based information to the user, which will help to identify that the client enter or leave the particular area .the technology behind providing location based services is called as Geofencing.
Key Words: Geofencing, Location Based Services, ToDo-List, Sentiment analysis, NLP.
1. INTRODUCTION Today's world as standard of living has being raced to high, interest of people have changed to have location based services in less amount of time. this Application provides the service as per client requirement using the to-do-list when user ask for it. it is dealing with the geonotification based services and it is reliable to provide the location based information to the user, which will help to identify that the client enter or leave the Dedicated Zhone .the technology behind providing location based services is called as Geofencing.
1.1 Location Based Services This paper present new way of monitoring the user's location in the environment. here the mobile phones are considered as client's, they are responsible to locate itself. the service offers a discount and the probability of the service selected by user would significantly improve which lead to changes of the service status. this article introduce the new way of Location Specific information with the sentiment analysis. Sentiment analysis is nothing but the collecting the reviews of the clients this will help to analyze the services based o the user's reviews. Sentiment analysis is the field of study of analyzing people’s opinions, sentiments, evaluations, attitudes, and emotions from written language. Sentiment analysis systems are used in almost © 2017, IRJET
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Impact Factor value: 5.181
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Fig : Dedicated Zhone of Geofencing
2.1 Geo-notification Scenario Nowadays, location-specific services are an important feature of mobile devices like smart phones or tablets. While considering the client’s location into account, they are mainly used to search for location-based information (e.g. surrounding shops, nearby friends, available rental cars.) Thereby, a LBS is being queried and the required information is being introduced by a mobile application only when request is done by the user. In the existing system user need to find individually point of interest on the map, and there no such provision to provide a point of interest on current location for any to-do list. ISO 9001:2008 Certified Journal
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