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1. Text
Analysis for
Competitive
Intelligence
Competitive intelligence is
critical for businesses to
survive and thrive now.

2. Competitive intelligence
enables you to identify
opportunities as well as
develop and implement
data-driven strategies
In order to find relevant information, analysts must
carefully search through massive amounts of data.
The process of searching for meaningful data in large
amounts of text using AI technology is known as text
analysis. Its ability to classify and extract text data
which helps you gain valuable insights for your
business.

3. But the majority of the
information gathered by most
companies comes in the form
of unstructured sources such
as news, forums, reviews,
and documents
To make the most of that vast amount of content, text
analytics allows you to identify sentiment and keywords,
extract semantic similarity between topics, discover new
emerging subjects, and summarise documents.
But the complexity of processing content necessitates the use
of more sophisticated algorithms.

4. Benefits of
Competitive
Intelligence

5. You can discover your
competitors’ and your
customers’ perceptions,
opinions, emotions, and
intentions.

6. Deep insights can be
extracted from all types
of unstructured content.

7. You can evaluate
relevant professional
information and assist in
identify companies that
could be chosen for
financing or partnership.

8. By not having to
manually curate a
significant amount of
text data, you can scale
up your operational
efficiency.

9. Draw conclusions from
the most credible
sources for your
particular situation and
turn them into
measurable business
intelligence

10. Text Analysis
Models used for
Competitive
Intelligence

11. It is a data mining technique that aids
in the summarization and
differentiation of any text based on its
theme.
It can also distinguish and catalog
documents by recognizing predefined
keywords. It is a simple and quick way
to automate business processes and
provide insights for data-driven
decisions.
Topic
labeling

12. It is the process of analyzing text
data to determine the author’s
intent. Intentions underpin much of
human behavior and action, and
understanding intentions can help
you interpret these behaviors.
It can assist your company in better
understanding their customers and
forecasting their future course of
action.
Intent
Detection

13. It is the process of comparing multiple
sentence structures to find similarities.
It examines the proximity of words in
two sentences as well as the
likelihood of two sentence structures
having similar meanings.
Content recommender systems are
one of the most common applications
of semantic similarities.
Semantic
Similarity

14. It is the process of examining and
categorizing texts as positive, negative,
or neutral.
It can also assist you in analyzing and
interpreting mindsets, opinions,
emotions, and so on, as well as
weighing the sentiments expressed in
the text.
Sentiment
Analysis

15. It is a machine learning technique
that can help you automate the
recognition and extraction of
important information from
unstructured data.
For competitive intelligence, you
can summarise the textual data
and key points of discussion.
Keyword
Extraction

16. BytesView’s Market
Intelligence Solution
Uncover market-moving insights for your specific needs.
Increase efficiency by eliminating the need to manually
analyze different types of unstructured data with
guaranteed accuracy.

17. Thank You !