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Sentiment Analysis (SA), an application of Natural Language processing (NLP), has been witnessed a blooming interest over the past decade. It is also known as opinion mining, mood extraction and emotion analysis. The basic in opinion mining is classifying the polarity of text in terms of positive (good), negative (bad) or neutral (surprise). Mood Extraction automates the decision making performed by human. It is the important aspect for capturing public opinion about product preferences, marketing campaigns, political movements, social events and company strategies. In addition to sentiment analysis for English and other European languages, this task is applied on various Indian languages like Bengali, Hindi, Telugu and Malayalam. This paper describes the survey on main approaches for performing sentiment extraction.

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The method for detection and classification of defects in Printed circuit boards using image subtraction has been presented in this paper. Image subtraction method is one of the simplest methods for the inspection of the PCB defects. The defects like missing hole, over and under etching, wrong hole size defects, missing conductor and break lines have been detected and classified in this paper.