Sudhakar N

Department of Energy and Power Electronics

School of Electrical Engineering

Vellore Campus

Padmavathi P

Fulltext

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

Journal of Green Engineering

In the digital era, the importance of extracting the hidden sentiments from user reviews plays a prominent role, to increase the profitability of an organization. The interest among, the research community in Sentiment Analysis (SA) has grown exponentially. But there are enormous challenges still being faced in the field of SA namely: Identification of sarcasm/Irony/Conditional/Modifier statements present in the review, Identification of Aspects and sentiment word as a pair (Data Transformation), Rating the recognized Aspects towards predicting the overall aggregated sentiment, Analyzing and designing issues towards implementing the parallel Aspect Level sentiment. In the present research work, We have addressed each of this challenges using a serial hybridization model, Where, the output of each step, is input to the following stage. First, towards identification sarcasm. In which, the dictionary is updated with the set of sentiment words by manually crafted rules. Next, to mitigate the discovery of sentiment and aspect word pair. In which, Latent Dirichlet Allocation (LDA), Gibbs sampling techniques are used. Next, to present the result of sentiment analysis as the overall rating of data considered, Latent Aspect Rating Regression (LARR) model is proposed (Data Presentation). Finally, addressed the designing issues (deciding numbers of mappers and reducers needed) towards implementing the parallel Aspect Level sentiment Analysis with the objective of improving the resource utilization in Big Data clusters. This work can help the researchers doing research in the field of speech recognition, development of recommended systems. The evaluation Metric used in estimating the performance of each step in our research are F-score, Rand Index, Classification accuracy and Root Mean Absolute Error (RMAE), Throughput. The findings of our research work help the customer to directly use the result obtained from the proposed model in the form of Aspect level rating. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.

Multimedia Tools and Applications

A roadmap towards implementing parallel aspect level sentiment analysis

Web scraping is a technique to extract information from various web documents automatically. It retrieves the related contents based on the query, aggregates and transforms the data from an unstructured format into a structured representation. Text classification becomes a vital phase to summarize the data and in categorizing the webpages adequately. In this article, using effective web scraping methodologies, the data is initially extracted from websites, then transformed into a structured form. Based on the keywords from the data, the documents are classified and labeled. A recursive feature elimination technique is applied to the data to select the best candidate feature subset. The final data-set trained with standard machine learning algorithms. The proposed model performs well on classifying the documents from the extracted data with a better accuracy rate.

International Journal of Web Portals

Personalized Content Extraction and Text Classification Using Effective Web Scraping Techniques

Renewable and Sustainable Energy Reviews

Maximum power point tracking algorithms for photovoltaic system – A review

2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015]

Performance analysis of boost &amp; Cuk converter in MPPT based PV system

A new and simple but effective electromagnetic interference suppression technique based on field programmable logic array (FPGA) technology to provide a significant EMI noise attenuation in DC-DC converters is discussed. The voltage controlled boost converter for EMI reduction is analyzed using FFT under traditional PWM technique and chaotic mode operation. This technique aids the DC-DC converters to comply in specified EMI limits and replace conventional bulky passive filter with a simple passive filter. A prototype model has been tested and hardware results show significant reduction of EMI in chaotic mode operation of the boost converter.

Advances in Power Electronics

An FPGA Chaos-Based PWM Technique Combined with Simple Passive Filter for Effective EMI Spectral Peak Reduction in DC-DC Converter

IEEE Transactions on Industrial Electronics

A Novel Structure for Single-Switch Nonisolated Transformerless Buck–Boost DC–DC Converter

High Step-Up DC–AC Inverter Suitable for AC Module Applications

Solar Powered LED Lighting with High GainBoost Converter

Journal	Journal of Green Engineering
Publisher	River Publishers
ISSN	1904-4720
Open Access	Yes