Sentiment analysis data sources give you the necessary tools that are needed to gain a deep understanding of market sentiment and thus help you influence market behavior. Sentiment analysis of data from customer feedback, brand performance, employee engagement, market trends, and such, also enables you to make smarter, faster decisions for growth.

2. 10 Sentiment Analysis
Data Sources For
Strategic Data Analytics

3. Overview
Sentiment analysis data sources give you the necessary tools that
are needed to gain a deep understanding of market sentiment and
thus help you influence market behavior. Sentiment analysis of
data from customer feedback, brand performance, employee
engagement, market trends, and such, also enables you to make
smarter, faster decisions for growth.

4. What Is Sentiment Analysis And Why Is It
Important?
Insights from sentiment analysis data sources help a business identify
how customers feel about its products and services. Sentiment analysis
NLP (natural language processing) of this data is vital for formulating
necessary corporate and marketing strategies. This applies to all
departments of an organization, especially product marketing, human
resources, as well as data scientists.
Furthermore, organizations need to analyze sentiment analysis data to a
greater extent today because of the dynamic nature of digital and social
marketing channels, giving rise to cut-throat competition. Done right,
sentiment analysis can be crucial to a company in the following ways-

5. ● Business intelligence
● Capturing new markets
● Product/service gap analysis
● Better sales conversions
● Competitor analysis
● Employee engagement
● Increased brand value and visibility
● Strategic marketing propositions
● Product differentiation
● Enriched customer loyalty

6. What Are The Sources Of Gathering
Sentiment Analysis Data?

7. There are ten main sources from which relevant sentiment analysis data
can be gathered for analyzing sentiment. These include news, public
information, social media, customer reviews, customer service call center
data, employee interaction data, electronic health records, and more.
Let’s review them in detail.
1. Social Media
Sentiment analysis data sources from social media include platforms such
as TikTok, YouTube, Instagram Live, Twitter, Tumblr, WeChat, Reddit,
Youku, and others. Interestingly, you can extract relevant information
from not only comments but the videos themselves through social media
sentiment analysis.

8. There are ten main sources from which relevant sentiment analysis data
can be gathered for analyzing sentiment. These include news, public
information, social media, customer reviews, customer service call center
data, employee interaction data, electronic health records, and more.
Let’s review them in detail.
1. Social Media
Sentiment analysis data sources from social media include platforms such
as TikTok, YouTube, Instagram Live, Twitter, Tumblr, WeChat, Reddit,
Youku, and others. Interestingly, you can extract relevant information
from not only comments but the videos themselves through social media
sentiment analysis.

9. 2. Customer Reviews
Sentiment analysis data for customer experience such as consumer comments and
reviews can be gathered from review websites such as Google reviews, Superpages,
Demandforce, Clutch, etc. You can further narrow down your data by targeting
websites specific to an industry such as Expedia, Travelocity, TripAdvisor, and such for
travel and hospitality; Yelp, Yahoo! Local, etc for restaurants and local businesses; or
even websites like Indeed and Glassdoor for employee reviews.
3. News articles and videos
Articles and videos from news websites are an apt source of sentiment analysis data for
various business needs, especially brand reputation monitoring. For example, stock
market news is perhaps the most highly anticipated source of information in an industry
where political unrest, financial reports, oil market reports, all have a significant impact.
A company can compile all relevant videos in its repository and arrange and analyze
them with the help of video AI that includes features like search inside video and
semantic classification.

10. 4. Public Information
Information from public sources such as business journals, trade publications,
government departments, social media groups, etc, which don’t need third-
party permissions are excellent sentiment analysis data sources for strategic
branding and market research initiatives.
5. Employee Interaction Data
Employee feedback can be a vital source of information for employee
experience (EX) analytics for improved corporate work culture and employee
satisfaction. Data can be gathered through audio platforms, chatbots, videos,
HR interactions, intranet chat, employee surveys, and other voice of the
employee methods.

11. 6. Customer Service Support Logs
Customer service call center support logs are a great source of data
for customer experience sentiment analysis. Customer service emails
and chat interactions can give key information as to what customers
like about a company’s products and services, and what they are
unhappy about. So do customer support calls. In fact, it is for the very
purpose of voice of the customer analysis that these calls are
recorded.

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