Data analysis refers to a process of inspecting and transforming data in order to derive some useful information. The objective of this process is to discover interesting patterns that can be used to derive important conclusions in areas like business, science, and social science domains. Semantic analysis plays a very important role in decision making process. Due to increase in web technologies a large amount of data gets generated. In order to extract important data from this, various data mining techniques have been proposed in recent years. Many researchers have focused on finding some interesting patterns out of this data using semantic analysis techniques. These techniques basically deal with determining the contextual polarity with reference to a specific domain. The paper presents a comprehensive survey about various techniques and tools used for sentiment analysis with some newer approaches like sentiment analysis using LDA. We present a comprehensive survey of latest sentiment analysis techniques along with some comparison results.
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