Abstract
Opinion mining from digital media is becoming the easiest way to obtain trivial aspects of the thinking trends. Currently, there exists no hard and fast modeling or classification over this for any society or global community. The marketing companies are currently relying on sentiment analysis for their products. In this paper social sentiment is focused on the form of collective sentiment and individual sentiment; we intend to classify these in the form of Macro and Micro-social sentiment. The sentiment varies among groups, sects etc. and various classes of society are depending on many other characteristics of the society. The social media is available to explore certain ideas, various trends, and their significance. The significance requires further exploration of more patterns and this cycle continues. The exploration cycle focuses on a research outcome. Based on above all the study focuses on the opinion classes towards the general think patterns. The Think Patterns (TP) are developed over time due to social traditions, fashions, family norms etc. The specific community think patterns are very difficult to classify like a female in restricted societies or rural societies of our country. Such trends and patterns are the focus of this study based on various defined parameters. The opinion and sentiment data analysis will be assessed using natural language processing (NLP) tools, Twitter, GATE, Google API’s, etc.
Highlights
The opinion refers to the processes that lead to decisions, such as political, marketing or purchasing decision
GATE is a platform for deploying and developing software constituents, which process like natural language
In our opinion mining research, the sentiment mining, think pattern mining and emotion mining is done, and these all together are helpful in decision mining
Summary
The opinion refers to the processes that lead to decisions, such as political, marketing or purchasing decision. Sentiment analysis is beneficial for a lot of important applications, like, the research for a commercial organization of the relations with customers for its production, or the development of a recommendatory system for the customers of specified groups of goods or services. Automatic recognition of opinions in texts finds application in a variety of areas: in marketing research, advisory and search systems, in the human-machine interface, in assessing the sentiment of news, etc. All available collections in Pakistan are collections of reviews belonging to one particular subject area, but not general collections of short texts (micro blogs) or messages from social networks. For the task of classifying texts from social networks by tone, a corpus of short texts was built by the micro blogging platform Twitter. It is not always possible to classify a long document or a review as positive or negatively colored
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