Text sentiment analysis is crucial in a brand’s lifecycle. Consider for a moment how many mentions or discussions there are about a company’s product or customer service on social media platforms, news feeds, news articles, review sites, and forums. In addition, businesses also gather enormous big data in intra-organizational and external emails, product marketing collaterals, PR content, presentations, videos, and more.

1. Will the Future of Search
be Semantic in 2021?
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2. How To Do Text Mining for Sentiment
Analysis
Text sentiment analysis is crucial in a brand’s lifecycle. Consider for a
moment how many mentions or discussions there are about a company’s
product or customer service on social media platforms, news feeds, news
articles, review sites, and forums. In addition, businesses also gather
enormous big data in intra-organizational and external emails, product
marketing collaterals, PR content, presentations, videos, and more. When
sentiment analysis from text is applied, this gigantic pool of data helps a
company gain actionable and relevant insights. AI-enabled sentiment
analysis thus helps to improve products, better customer experience (CX),
increase efficiency in operations, and in general, makes analyzing data
simpler through automation.

3. Table of Contents
● What Is Text Sentiment Analysis?
● Why Do Companies Need Text Mining for Sentiment
Analysis?
● What is the Process of Doing Sentiment Analysis From
Text?

4. What Is Text Sentiment
Analysis?
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5. Sentiment analysis from text is done in order to identify subjective information
in it and understand the opinions, feelings, and sentiments emanating from the
text. Typically, this process involves any source of text data and can include
surveys, emails, social media, news sites, and feeds, and more.
A perfect example would be where businesses perform sentiment analysis
on text to gain valuable insights from it and understand how their customers
truly feel about their products or services

6. Why Do Companies Need Text Mining for
Sentiment Analysis?
When we consider what text sentiment analysis is, it’s understandable that
the insights it provides can help businesses improve their products,
processes, and operations and, can add a lot of value for the business.
Let’s look at some real-world applications for text sentiment analysis.

7. 1. Voice of the Customer
2. Client Nurturing
3. Reputation Management
4. Social Media Listening
5. Surveys and Reviews
6. Search Engine Optimization
7. Voice of the Employee

8. What is the Process of Doing Sentiment
Analysis From Text?

9. What are the challenges in managing
consumer insights data?

10. Thank you!
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customers, & employees with
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