What is sentiment analysis


Please respond the discussion.

D1-What is sentiment analysis? How does it relate to text mining? How can sentiment analysis be used in predicting financial markets?

D2-According to the textbook, sentiment analysis can also be called opinion mining, subjectivity analysis and appraisal extraction which deals with the automatic extraction of opinions, feelings in text, then these analysis results will provide businesses and individuals opportunities for future development. In a simple word, sentiment analysis is used to provide customers' feedback about services and products by using analytical methods to analyze textual data.

D3-Web analytics is the process of evaluation or analysis of a website, analytics measure activity and behavior of the website (ex: how many users visited the web page, how long they stay, which page and how many pages and did they reached the site by following some link or using keyword search). Web analytics is used for business and market research so that it would help improve the effectiveness of a website.

The benefits of web analytics:

• Web analytics provides insights of data which will be useful to create better user experience for website visitors

• Using web analytics, effectiveness of the online marketing campaigns can be accurately measured

There are three common types of web analytics metrics used:

Count - Count is the most basic unit of measure (ex: number of visits)

Ratio - Count divided by a count

KPI (Key Performance Indicator) - KPI can be either count or ratio, while basic counts ratios can be used by all websites types, a KPI is

pervaded with business strategy.

some of the most commonly used tools:

• Google Analytics - the ‘standard' website analytics tool, free and widely used

• Piwik - an open-source solution similar in functionality to Google and a popular alternative, allowing companies full ownership and control of their data

• Adobe Analytics - highly customizable analytics platform (Adobe bought analytics leader Omniture in 2009)

• Kissmetrics - can zero in on individual behavior, i.e. cohort analysis, conversion and retention at the segment or individual level

• Mixpanel - advanced mobile and web analytics that measure actions rather than pageviews

• Parse.ly - offers detailed real-time analytics, specifically for publishers

• CrazyEgg - measures which parts of the page are getting the most attention using ‘heat mapping'

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