Semantic search may provide further business benefits by merging NLP with an intuitive user interface and making it straightforward for anyone to interact with and get the results they’re looking for. For More Info (Source): https://www.tutorsindia.com/blog/semantic-search-using-natural-language-processing/

1. USE OF NATURAL
LANGUAGE
PROCESSING IN
SEMANTIC SEARCH
An Academic presentation by
Dr. Nancy Agnes, Head, Technical Operations, Tutors India
Group www.tutorsindia.com
Email: info@tutorsindia.com

2. TOPIC DISCUSSION
Introduction
Semantic Search Reduces Searching
And Increases Finding
Semantic Research Is A Variable
Investment Worth Making For
Organizations
What Are Some Examples Of Semantic
Research?
Conclusion

3. INTRODUCTION
Computer-assisted text analysis is known as natural
language processing (NLP).
An aspect of NLP is the study of how someone uses and
understands language.
The goal of this is to develop the tools and methods
necessary for computer systems to comprehend, change,
and perform a wide range of useful tasks using natural
language.
contd...

4. Researches in NLP are currently focused on creating sophisticated NLP
systems that incorporate both the general text and a sizable portion
of the ambiguity and unpredictability of a language.
Computational linguistics frequently faces problems with speech
recognition, word separation, and other concepts. In NLP, it has been
usual practice to create statistical approaches for it (Bast et al., 2016)
.

5. FIG 1. (NLP) NATURAL LANGUAGE PROCESSING

6. SEMANTIC SEARCH REDUCES
SEARCHING AND INCREASES
FINDING
Since its creation in the early 1990s, the essential search
engine has made tremendous advancements.
However, it has recently made tremendous strides
toward providing much more nuanced and pertinent
solutions with the use of artificial intelligence (AI)
technologies like machine learning (ML) and natural
language processing.
contd...

7. AI skills are added to search engines to develop semantic search. No
longer are searches restricted to words and their definitions from
dictionaries: Understanding the query's goal and describing the data such
that it is "suited for meaningful retrieval," as stated in Towards Data
Science, are necessary for semantic search” (Do et al., 2010) .
By learning from prior query results, Semantic Search uses machine
learning to increase accuracy and relevance.
contd...

8. By using NLP, the searcher is able to formulate their inquiries as if they were speaking to
a human. They might spend less time coming up with the best keywords for a particular
search as a result.
Unlike its keyword-based predecessor, semantic search can handle informations from a
wide range of sources, including email, social media, documents, PDFs, images, video,
and audio.
This considerably expands the searcher's possibilities by enabling them to find what
they're looking for using all of the resources at their disposal (Sheu et al., 2009) .

9. SEMANTIC RESEARCH IS A VARIABLE
INVESTMENT WORTH MAKING FOR
ORGANIZATIONS
There has never been a business that wouldn't benefit from
obtaining quicker, more precise, and higher-quality results.
By eliminating unnecessary information and only displaying
the most correct answers, semantic search enables less
searching and more discovery.
Consider ing the example of an underwater welder searching
for supplies to complete a task on a 1,500-foot-deep oil rig in
the Gulf of Mexico.
contd...

10. contd...
A keyword search would only give up results pertaining to
welding, thereby omitting the multifaceted nature of this
endeavour.
The context of such a project would be recognised by a
semantic search, together with the fact that the welder is
second in importance to the diver in the searcher's profile.
In addition to taking into account factors like working
conditions and water currents, it would offer pertinent
results, such as those from a hyperbaric chamber.

11. Semantic search may provide further business benefits by merging NLP
with an intuitive user interface and making it straightforward for anyone to
interact with and get the results they're looking for.
Fast access to accurate findings facilitates decision-making and
increases productivity in businesses of all sizes.
By combining unstructured data from many sources, semantic search
may also aid in the expansion and success of enterprises (Kupiyalova et
al., 2020) .

12. WHAT ARE SOME EXAMPLES
OF SEMANTIC RESEARCH?
Interestingly, since the Hummingbird upgrade in 2013, Google
has been embracing semantic search to enhance its user
experience.
With this improvement, "conversational search" was
introduced to its repertoire, meaning that the context of the
full query was taken into account rather than just certain
phrases.
Online retailer Zappos just integrated semantic search to
their website to make it easier for customers to locate
exactly what they're looking for.
contd...

13. The algorithm adapts the result to each customer's prior search data,
according to the company's chief data scientist, in addition to understanding
the context of the search word (Wei et al., 2008) .
As a result, Zappos is in a position to offer each of its customers the results
that are specifically relevant to them.
Companies all around the world are turning to services like Microsoft Azure
and AWS Comprehend, which enable them to use the technologies without
having to build it themselves, as the advantages of semantic search
become more and more clear.

14. In order to ensure that no crucial information is
overlooked, effectively using semantic search also
requires destroying any internal data silos that may
exist (Cotfas et al., 2019).
By making sure that employees are forthcoming
with the necessary information and that adequate
technical preparation is in place, organisations may
train their conceptual search engine to produce the
most informed and accurate results.
CONCLUSION
contd...

15. Nevertheless, much study remains to be done, despite the fact that
semantic search may seem to be a mature technology.
That is not to imply that we shouldn't start using it today in order to benefit
from its many benefits rather than waiting till technology reaches its full
potential: Semantic search may be used by companies of all sizes to help
them make decisions more quickly and thoroughly, enhance customer
experience, and increase revenue (Sangers et al., 2013) .

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