Abstract
he world of technology is growing by leaps and bounds and the arena in technology that is going to be explored is Data Mining. It is estimated that till 2025, most of the world's trade will be based on Data Mining [1]. There is vast availability of people opinion data on twitter for almost every product and service. The challenge is to interpret this data and to extract the information which can lead a decision maker to take better decisions. In dictionary-based approach every word with some positive, negative or neutral value is mapped but opinions are not always direct, hence the sense of the sentence or sub-sentence doesn't agree with its numeral weight. This short coming of this approach lead us to come up with some strategies to increase the accuracy of this method by multiplying the weights together and using some fundamental semantic rule to classify sarcastic tweets. Hence in this paper a hybrid approach is implemented which ensures the sign of total weight of the sentence according to its indirect sense. The positive outcome is that opinions which were earlier treated as neutral are now retaining their sense and add up to our decisions. The hybrid approach is using the concepts of dictionary-based approach and semantic-based approach i.e. matching words from the dictionary and assigning their sentimental value and also using some specific semantic rules used for analyzing sarcastic or neutral tweets for gaining more information about the opinions. The proposed mining of opinions has become easier and more accurate that can be utilized for product's sale forecasting.
Highlights
Behavior analysis is the science of studying the comportment of a person to establish a specific profile about it
It has firstly been used in psychology and since a few years, it has been implemented in information technology programs to understand the needs of the users
Natural languages are not easy to interpret for machines, people have shown an inclination of giving opinions in an indirect way but we can constantly work to enhance the accuracy of it and it will lead us to an easy way of interpreting the opinions, resulting in providing vital information about launch and sale of any product in just 2-3 days and this will help in setting better strategy for marketing of any product
Summary
Behavior analysis is the science of studying the comportment of a person to establish a specific profile about it. The process of computationally identifying opinions expressed in a piece of text, in order to determine the writer's attitude towards a particular political issue, breaking news, movie, sports, celebrity or product and categorizing it into Positive, Negative or Neutral sentiment is known as opinion mining or behavioral analysis. In dictionary-based approach every word is mapped with some positive, negative or neutral value but the opinions are not always direct, the sense of the sentence or subsentence doesn't agree with its numeral weight. This short coming of this approach motivated us to come up with some new strategies to increase the accuracy of this method. Gupta et al, International Journal of Advanced Research in Computer Science, 9 (2), March-April 2018, 175-179
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