2778 Slices
Medium 9781601323200

Session - Neural Networks and Applications + Data Mining + Machine Learning

Medium 9781601322494

Sentimental versus Impact of Blogs

Hamid R. Arabnia, Victor A. Clincy, Leonidas Deligiannidis, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF

Int'l Conf. Internet Computing and Big Data | ICOMP'13 |


Sentimental versus Impact of Blogs

Sadi Evren SEKER

Dept. of Business Administration

Istanbul Medeniyet University academic@sadievrenseker.com


Sentimental analysis on web-mined data has an increasing impact on most of the studies. Sentimental influence of any content on the web is one of the most curios questions by the content creators and publishers. Also the impact of the webmined data is completely another issue than the sentiments.

For example categorizing a blog post into positive or negative sentiment is a parameter and measuring the like and dislike numbers of the blog post is completely another issue. In this study, the impact and sentimental of the comments collected from five different web sites in Turkish with more than

300,000 comments in total. The web sites are from newspapers; movie reviews, e-marketing web site and a literature web site. All the comments are mixed into a single file. The comments have a like or dislike number, which are used as ground proof of the impact of the comment. The ground proof of the sentiment of the blog is the smileys in the post text.

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Medium 9781601323187

Session - Posters

Hamid R. Arabnia, George A. Gravvanis, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF
Medium 9781601323200

Performance of a Natural Language Framework



Int'l Conf. Artificial Intelligence | ICAI'14 |

Performance of a Natural Language Framework

Waleed Faris and Kam-Hoi Cheng

Computer Science Department, University of Houston, Houston, Texas, USA

Abstract – An ideal intelligent program is one that can

communicate with humans using a natural language. Three key operations of communication are to read, understand, and write sentences. We have developed a natural language processing framework that allows an incremental learning of a grammar, such as the English grammar. The framework contains algorithms for the three operations and also allows grammar terms to be taught using multiple components that define the purpose, structures, and rules of the terms. These components are used not only for parsing a sentence, but also for understanding its intent and for producing a sentence to reflect a thought. The grammar is defined in a manner that allows more complex terms to be introduced incrementally using a combination of simpler terms and an expansion of existing terms. The performance of this framework on all three operations improves as more grammar is introduced.

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Medium 9781601322500

Implementation of Automotive Platform for Real-Time Diagnosis

Hamid R. Arabnia, Victor A. Clincy, Leonidas Deligiannidis, George Jandieri, Ashu M. G. Solo, and Fernando G. Tinetti CSREA Press PDF

Int'l Conf. Wireless Networks | ICWN'13 |


Implementation of Automotive Platform for Real-Time


Minwoo Jung and Jeonghun Cho

School of Electronic Engineering, Kyungpook National University, Daegu, Republic of Korea

Abstract - As vehicle and computer technique are advanced, a vehicle has many electronic control unit (ECU). The ECUs control a series of actuators on an internal combustion engine to ensure the optimum running through reading values from a multitude of sensors within the engine bay, interpreting the data using multidimensional performance maps, and adjusting the engine actuators accordingly. It has utilized on vehicular diagnostic system such as on-board diagnostic version II

(OBD-II). The OBD-II collects state of health information for various vehicular sub-systems. We propose automotive platform that can manage vehicle in real-time. It enables an early diagnosis based on storing information in server. It ensures high safety, more comfort.

We propose a converter that OBD protocol is converted into Bluetooth protocol and a graphic user interface (GUI) for smart devices. The smart devices have limit of storage. A server needs in order to store vehicular information that is transported in real-time. We propose cloud computing for construction server. A repair technician would analyze failure cause through stored data in server. It enables to detect potential error in vehicle. The second section describes background, third section presents proposed scenarios.

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