Understanding your customers is key to running a successful business. Using big data, you can get to know your customers so well that you can anticipate their needs and exceed their expectations.
2. HOW?
The best way to read your
customers’ mind is by using
the technique called
sentiment analysis.
3. WHAT IS SENTIMENT ANALYSIS?
Sentiment analysis is the
process of computationally
identifying and categorizing
opinions expressed in a
piece of text, especially in
order to determine whether
the writer's attitude towards
a particular topic, product,
etc., is positive, negative, or
neutral.
4. WHAT DATA CAN YOU USE?
SOCIAL MEDIA POSTS
ECOMMERCE PRODUCT REVIEWS
FORUM POSTS
BLOGS
OTHER MISCELLANEOUS DATA
5. STEPS INVOLVED IN SENTIMENT ANALYSIS
These are the basic steps involved in sentiment
analysis.
6. DEFINING SOURCES
Avoid sites that discourage bots
Look for a clean design and navigation
Look for freshness of the site
Avoid sites with too many broken links
Defining the data sources is the first and foremost
step which is crucial to the effectiveness of the
sentiment analysis. Here are some tips for finding
the right sources:
7. DATA ACQUISITION
Using web scraping to acquire data for sentiment
analysis is cost effective and comes with many
different advantages. Here is how web scraping
works.
DATA SOURCES WEB CRAWLING SETUP CLEAN, STRUCTURED DATA
8. DATA POINTS
SOURCESPost URLs
No. of
Likes
Post
content
Hashtags
Usernames
These are the common data points you should
look for while scraping:
9. DATA ANALYSIS
Analysing the acquired data using a
customized data analytics system is the
final step in sentiment analysis. This
system should be able to analyse the data
and generate one of the three emotions
for every record of data:
Positive
Neutral
Negative
10. BENEFITS OF SENTIMENT ANALYSIS
KNOW WHAT THE CUSTOMERS WANT
MONITOR CHANGES OF OPINIONS OVER TIME
LOWER COST
IDENTIFY SOURCES OF GENUINE FEEDBACK
IMPROVE OPERATIONS EFICIENCY
11. Got questions? Feel free
to bug us at:
www.promptcloud.com
Email: sales@promptcloud.com