International Journal of Advanced Research in Computer and Communication Engineering 

About: International Journal of Advanced Research in Computer and Communication Engineering is an academic journal. The journal publishes majorly in the area(s): Cloud computing & Wireless sensor network. Over the lifetime, 1432 publications have been published receiving 3607 citations.

Twitter as a Corpus for Sentiment Analysis and Opinion Mining

Abstract: Sentiment Analysis (SA) and summarization has recently become the focus of many researchers, because analysis of online text is beneficial and demanded in many different applications. One such application is productbased sentiment summarization of multi-documents with the purpose of informing users about pros and cons of various products. This paper introduces a novel solution to target-oriented sentiment summarization and SA of short informal texts with a main focus on Twitter posts known as “tweets”. We compare different algorithms and methods for SA polarity detection and sentiment summarization. We show that our hybrid polarity detection system not only outperforms the unigram state-of-the-art baseline, but also could be an advantage over other methods when used as a part of a sentiment summarization system. Additionally, we illustrate that our SA and summarization system exhibits a high performance with various useful functionalities and features. Sentiment classification aims to automatically predict sentiment polarity (e.g., positive or negative) of users publishing sentiment data (e.g., reviews, blogs). Although traditional classification algorithms can be used to train sentiment classifiers from manually labeled text data, the labeling work can be time-consuming and ex-pensive. Meanwhile, users often use some different words when they express sentiment in different domains. If we directly apply a classifier trained in one domain to other domains, the performance will be very low due to the differences between these domains. In this work, we develop a general solution to sentiment classification when we do not have any labels in a target domain but have some labeled data in a different domain, regarded as source domain.

Wireless Sensor Network: A Survey

Abstract: Internet of Things is a proposed germinates of internet in which everyday objects had network connectivity, allowing them to send and receive patient data. Wireless sensor network (WSN) refers a group of stereo metrically scattered and devoted sensors for observing and recording the physical conditions of ambience and formulate the collected data at central location. Though tremendous work has been done in the field of IOT concept wireless sensor network plays an important role in monitoring the patients and providing a medication. It is hindered from being beneficial to quality of services. This paper provides a survey on various techniques to address the challenges in wireless sensor networks.

Control in Power Electronics

Abstract: Metaheuristic methods have been demonstrated to be efficient tools to solve hard optimization problems. Most metaheuristics define a set of parameters that must be tuned. A good setup of that parameter values can lead to take advantage of the metaheuristic capabilities to solve the problem at hand. or predictive control algorithms based on typical linear controllers, exact and approximate methods for calculating optimal tunings are put forward. Optimally tuned predictive algorithms. an overview of results and future challenges related to temperature control and cost optimization in building energy systems. Control and economic optimization issues are discussed and illustrated through simulation examples. The paper concludes with results from model predictive control solutions and identification of important directions for future work.