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The document provides a comprehensive overview of sentiment analysis, also known as opinion mining, which involves classifying texts based on the sentiments they express. It outlines key concepts such as subjective-objective and positive-negative polarity, the history of sentiment analysis, its applications in various fields, and the evolution of methods used for sentiment classification. The document discusses different approaches to sentiment tagging, including manually created lists and automatically generated ones, as well as challenges faced in accurately categorizing sentiments. It emphasizes the importance of feature selection and the impact of domain on sentiment analysis outcomes.

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How does Netflix use sentiment analysis?

By evaluating vast amounts of data, from viewing histories to user reviews, Netflix uses cutting-edge NLP techniques to: Understand viewer sentiment and preferences.

What is the difference between polarity and subjectivity in sentiment?

The first one is Polarity, which indicates the positivity/negativity in the sentiment of the text. The second one is subjectivity which refers to objective info/facts versus personal opinions or emotions.

What are the three types of sentiment analysis?

The three most popular types, emotion based, fine-grained and aspect-based sentiment analysis (ABSA) all rely on the underlying softwares capacity to gauge something called polarity, the overall feeling that is conveyed by a piece of text.

How does KFC use sentiment analysis?

For example, KFC used sentiment analysis to revitalize its marketing. As other brands began to focus on healthy food and nutritional value, KFC felt that it was being left behind. So, the chain used customer sentiment analysis to understand what kinds of marketing their target audience would respond to best.

What is the difference between sentiment and semantic?

Semantic analysis is the study of the meaning of language, whereas sentiment analysis represents the emotional value.

What is an example of sentiment analysis?

Polarity measures the overall tone of an article, indicating whether it is positive, negative, or neutral. The polarity score ranges from -1 (very negative) to +1 (very positive). Sentiment Scores: Each article receives sentiment scores for positive, negative, and neutral classes (each ranging from 0 to 1).

What is an example of a company using sentiment analysis?

B2C retailer Nike used social media sentiment analysis to monitor public opinion when it sponsored NFL player Colin Kaepernick. A mobile carrier used customer support sentiment analysis to improve its customer service.

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