Author
Aditya Shirke

Org/Univ
Vishwakarma Institute of Information Technology, Pune, India

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Co-authors

Ankur Singh, Umesh Sapar, Aditya Sengupta, Prof. Leena Deshpande

Abstract

Nowadays Sentiment Analysis play an important Role in each field such as Stock market, product reviews, news article, political debates which help us to determining current trend in the market regarding specific product, event, issues. Here we are apply sentiment analysis on micro-blogging platforms such as twitter, Facebook which is used by different people to express their opinion with respect to different kind of foods in the field of home’s chef. This paper explain different methods of text pre-processing and applies them with a naive Bayes classifier in a big data, distributed computing platform with the goal of creating a scalable sentiment analysis solution that can classify text into positive or negative categories. We apply negation handling, word n-grams, stemming, and feature selection to evaluate how different combinations of these pre-processing methods affect performance and efficiency.

Cite this paper

IEEE
Aditya Shirke, Ankur Singh, Umesh Sapar, Aditya Sengupta, Prof. Leena Deshpande. Streaming Analytics, International Journal of Advance Research, Ideas and Innovations in Technology, www.ijariit.com.

APA
Aditya Shirke, Ankur Singh, Umesh Sapar, Aditya Sengupta, Prof. Leena Deshpande (2016). Streaming Analytics. International Journal of Advance Research, Ideas and Innovations in Technology, 2(1) www.ijariit.com.

MLA
Aditya Shirke, Ankur Singh, Umesh Sapar, Aditya Sengupta, Prof. Leena Deshpande. "Streaming Analytics." International Journal of Advance Research, Ideas and Innovations in Technology 2.1 (2016). www.ijariit.com.
Author
Yashwant Bhaidkar

Org/Univ
VIIT, Maharashtra, India

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Pranav Bhagwat, Priyanka Bhalere, Radhika Gujar, Sachin Walunj

Abstract

Android Phone has power to access or fetch data from remote location and provide various facilities to the user. Hence android applications have more and more demand because of its user friendly nature and its power of computation. Many tourist are having problem to search proper tourist places due to communication overhead or less facility of tourist guide. It is impractical to search each and every tourist place at every location. So in order to provide feasible as well as user friendly solution for this problem we develop an android application which will automatically recognize famous and nearby places and send notification to android phone. This application also provides weather recommendation feature which notifies the tourist about weather conditions of the destination before visiting it. All places are properly categorized and also with review or rating. The application also provides facility of vehicle mark to reach your vehicle after site visit. We are using Triangulation method with LBS as well as GPS to track the location of user. And as per his location, relevant list of tourist places will be send in the form of pop up notification.

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IEEE
Yashwant Bhaidkar, Pranav Bhagwat, Priyanka Bhalere, Radhika Gujar, Sachin Walunj. Tourist Place Recommendation System, International Journal of Advance Research, Ideas and Innovations in Technology, www.ijariit.com.

APA
Yashwant Bhaidkar, Pranav Bhagwat, Priyanka Bhalere, Radhika Gujar, Sachin Walunj (2015). Tourist Place Recommendation System. International Journal of Advance Research, Ideas and Innovations in Technology, 1(5) www.ijariit.com.

MLA
Yashwant Bhaidkar, Pranav Bhagwat, Priyanka Bhalere, Radhika Gujar, Sachin Walunj. "Tourist Place Recommendation System." International Journal of Advance Research, Ideas and Innovations in Technology 1.5 (2015). www.ijariit.com.
Author
Jay Patani

Org/Univ
SVBIT, GandhiNagar, Gujrat, India

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Avakash Patel, Amit Patel

Abstract

Glass fiber reinforced polymer (GFRP) composites are increasingly being used in a large number of applications in product manufacturing because of the superior advantages they offer compared to other traditional and nontraditional materials such as high strength to weight ratio, high modulus, high fracture toughness, and corrosion and thermal resistance, low cost of production, light weight, inherent strength, weather-resistant finish and variety of surface textures. However conventional machining of Glass fiber reinforced polymer (GFRP) is not so economical and ease, on the other hand non-conventional processes like laser cutting, abrasive water jet machining (AWJM), and electric discharge machining (EDM) etc., have a very good potential in overcoming these machining difficulties. Among these AWJM is commonly employed for very hard and brittle materials due to its Economical and Technical significance.

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IEEE
Jay Patani, Avakash Patel, Amit Patel. A Review on Multiobjective Optimization of Process Parameter of Abrasive Water Jet Machining for Lower Surface Roughness & Higher Removal Rate of Glass Fiber Reinforced Polymer, International Journal of Advance Research, Ideas and Innovations in Technology, www.ijariit.com.

APA
Jay Patani, Avakash Patel, Amit Patel (2015). A Review on Multiobjective Optimization of Process Parameter of Abrasive Water Jet Machining for Lower Surface Roughness & Higher Removal Rate of Glass Fiber Reinforced Polymer. International Journal of Advance Research, Ideas and Innovations in Technology, 1(5) www.ijariit.com.

MLA
Jay Patani, Avakash Patel, Amit Patel. "A Review on Multiobjective Optimization of Process Parameter of Abrasive Water Jet Machining for Lower Surface Roughness & Higher Removal Rate of Glass Fiber Reinforced Polymer." International Journal of Advance Research, Ideas and Innovations in Technology 1.5 (2015). www.ijariit.com.
Author
Atul Fartiyal

Org/Univ
VIT University, Chennai, India

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Abstract

Renewable energy, plays a key role in modern society and therefore in research. This paper presents MATLAB simulation of interleaved technique based dc-dc buck-boost converter. Four switch converter, buck converter and boost converters are arranged in interleaved pattern with a damping circuit in between them. Input and output ripples of voltage and current of the converter is very low. The given system has very high efficiency with various applications.

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IEEE
Atul Fartiyal. Interleaved Technique based Buck-boost DC-DC Converter using MATLAB/Simulink, International Journal of Advance Research, Ideas and Innovations in Technology, www.ijariit.com.

APA
Atul Fartiyal (2016). Interleaved Technique based Buck-boost DC-DC Converter using MATLAB/Simulink. International Journal of Advance Research, Ideas and Innovations in Technology, 1(5) www.ijariit.com.

MLA
Atul Fartiyal. "Interleaved Technique based Buck-boost DC-DC Converter using MATLAB/Simulink." International Journal of Advance Research, Ideas and Innovations in Technology 1.5 (2016). www.ijariit.com.


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