Data from social media can also be used as a leading indicator to track adjusting attitudes toward relevant or complex issues.

1. Text Analysis
for Social
Media
BYTESVIEW SOCIAL MEDIA MONITORING SOLUTION

2. The process of extracting relevant data from
text sources is known as text analytics.
Text analysis can be used to analyze any
text-based range of data, such as posts on
social media, surveys, news articles, forums,
call documents, and much more.
BYTESVIEW SOCIAL MEDIA MONITORING SOLUTION

3. Data from social media is being used extensively by
researchers in a variety of fields, including world
politics, communication services, investigative
reporting, and commercial enterprise.
Data from social media can also be used as a leading
indicator to track adjusting attitudes toward relevant
or complex issues.
DECEMBER 2020
BYTESVIEW SOCIAL MEDIA MONITORING SOLUTION

4. While humans are still better at recognizing language, the large
amount of textual data makes advanced analytical solutions ideal
for large-scale data processing
.
Among many analytical fields, one in which humans outperform
all others is the ability to recognize feelings.
BYTESVIEW SOCIAL MEDIA MONITORING SOLUTION

5. For feedback presented
to you, such as 40–50 or
even 100, this is doable.
However, if you have a data
set of, say, 10,000 reviews,
manually analyzing them
becomes impossible.
DECEMBER 2020
Not to mention the time and bias that
will occur.

6. The influence of social media on the
political system, and also the extent
to which it influences campaigning
and the political system, as well as
the interaction between social media
and traditional, are central issues
right now.
BYTESVIEW SOCIAL MEDIA MONITORING SOLUTION

7. RECOGNIZING THE GENERAL SENTIMENT
ASSOCIATED WITH YOUR BRAND ONLINE
CLASSIFYING AND CATEGORIZING THE HUGE
AMOUNT OF DATA TO BETTER
FINDING THE KEY ISSUES AND GRIEVANCES OF YOUR
CUSTOMER QUICKLY TO AVOID ANY PR CRISIS.
DETERMINING THE INTENT OF YOUR CUSTOMERS AT
ANY STAGE OF THEIR BUYING CYCLE.
EXAMINING THE CONVERSATION SURROUNDING
YOU AND HOW THE CONVERSATION’S CONTENT HAS
EVOLVED OVER TIME.
APPLICATION OF TEXT ANALYSIS IN
SOCIAL MEDIA
UNDERSTAND IT

8. Text Analysis
Models used for
Social Media
DECEMBER 2020
BYTESVIEW SOCIAL MEDIA MONITORING SOLUTION

9. Topic labeling
It’s a data mining technique that helps summarise and
differentiate any social media text based on its theme.
It can also recognize and categorize documents based on
predefined keywords. It’s a straightforward and quick way to
automate business processes and provide data-driven
insights.
DECEMBER 2020

10. Intent detection
Intentions drive many human behaviors and actions, and
understanding intentions can help you interpret these
behaviors. It can assist you in gaining a better understanding
of your customers and forecasting their future behavior.
DECEMBER 2020

11. Semantic similarity
It is the process of comparing different sentence
structures to see if there are any similarities. It investigates
the proximity of words in two sentences as well as the
possibility of two sentence structures having similar
meanings.
DECEMBER 2020

12. Sentiment analysis
It’s the process of analyzing and categorizing positive,
negative, and neutral social media content and mentions.
It can also help you analyze and interpret mindsets,
opinions, emotions, and other aspects of the text, as well
as weigh the sentiments expressed in it.
DECEMBER 2020

13. Keyword extraction
It’s a machine learning technique that can help you
recognize and extract important information from
unstructured data automatically.
You can summarise the textual data and key points of
discussion for social media analysis.
DECEMBER 2020

14. BytesView is an AI-driven text
analysis tool that can gather
and analyze large volumes of
social media data with great
accuracy.
BYTESVIEW SOCIAL MEDIA MONITORING SOLUTION