Chapter 8 The Marketing Science of Sentiment Analysis To make smart changes in business, you need to understand your customers’ opinions Many market analysts.

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Chapter 8 The Marketing Science of Sentiment Analysis To make smart changes in business, you need to understand your customers’ opinions Many market analysts now use sentiment analysis to get customer insights from social media, tweeter Text analysis can be used to speed up the process research development When doing marketing, you want to know what people have to say about your company’s products? What are the particular flaws in the product? What do they really like? What do they think about the pricing, about the customer service?

Sentiment analysis just means whether a particular tweet or review is positive or negative A more sophisticated analysis will decompose a message or document into particular elements. Those elements could be the names of persons, places, companies, products, concepts or themes. Examples: Unilever, for example, used sentiment analysis to study consumer opinions on websites it set up about its products Analyze audio recordings for people words and for cues to emotional content like rapid speech, raised voices, or one speaker interrupting another. A city in USA gathered information with five agencies, from Face book, tweeter, blogs and online forms to know the level or quality of the services.

Sentiment analysis is an evolving field: it’s tantalizing and useful but still imperfect. (Need to know when a tweet is straightforward and when sarcastic.) – No accuracy measure. sentiment analysis is a powerful tool to help you understand your customers, your business environment, and your strengths and vulnerabilities. It is important to consider whether sentiment analysis is right for your needs, It starts by determining the business goals by collecting and analyzing attitudinal data. Determine what data is most promising Filter, and transform and analyze the data in order to convey insights that are usable for decision making

Question How much Sentiment analysis can be trustable now and in coming future?