NLP based chatbots provide positive outcomes with fewer false ones through accurate interpretation. It uses full communication for user responses to boost sales and service of all businesses.

1. Why Does Your Business Need an NLP
Based Chatbot Services ?
NLP transforms the way bots work from keywords to understand the meaning. This
improvising of AI by NLP is revolutionizing today’s business world. There is no algorithm or
bot to analyze the human spirit, but intents can be classified. NLP based chatbots well
understand these intents and act upon them.
“The past is always tense; the future perfect” is a quote by Zadie Smith which explains the
English tenses with life. For understanding tenses, the chatbots should use NLP. AI and ML
have made it indispensable for businesses to incorporate NLP with chatbots.
NLP or natural language process enhances the functions of chatbots for all businesses. It
elevates their scripted and sequential conversations of chatbots to that of humans.
Assessing, analyzing and communicating skills of NLP based chatbots makes this possible.
In this fast technology evolving business world, it is necessary to know the latest
developments. If you are involved in any business in any capacity it is imperative to know
about the following:
Chatbots –customized customer interactions 24/7, 365 services
Chatbots buzz is doing the rounds for some years now, and from 2015 it has gained
momentum. The Facebook integration of it as messenger platform made this business world
surrounded by chatbots. This AI software is the most advanced expressions of interactions
between humans and machines.

2. Chatbots integration – CRM at its best
Chatbots integration with major social platforms and other latest technological tools enables
its easy accessibility. It provides the best CRM facility for better customer satisfaction. The
24/7 365 uninterrupted service of interacting with many customers at the same time saves
money. Also, it increases sales, facilitates meetings and gives 36% lead conversions.
NLP – Language barrier breakers
“Every language is a world. Without translation, we would inhabit parishes bordering on
silence.” – George Steiner
This adage squarely implies the importance of language translation in this modern, fast, and
technological world. Language barriers should not curtain global businesses with thousands
of languages. Hence NLP or Natural Language Process gains prominence in this digitalized
business world.
So what is this NLP?
NLP is software to provide the automatic simulation of a natural language like speech and
text. With its roots dating back to 1950, it has grown with the technological development. It is
a subfield of computer science concerned with the interactions between computers and
human languages. A prodigious quantity of natural language data is processed and analyzed
by NLP.
NLP is all about making possible interaction between computers by understanding inputs. It
by translating them into their known language. NLP is a highly sophisticated technology and
is now part of IT courses. To understand NLP certain features and applications of it should
be known for benefiting businesses in a better way.

3.  Natural language:
“Language is the road map of a culture. It tells you where its people come from and where
they are going.” -Rita Mae Brown
Languages define people and speaking in their natural language is one of the best ways of
longstanding relationships. Native language is the way humans communicate which is more
of speech and text. In the last decade, the dominance of book in the day to day life was equal
to that of speech. It comprises the following ways including:
 Email
 SMS
 Signs
 Menus
 Web pages
This list is just a drop in the ocean of the data generated and stored. NLP provides the
methods for productively understanding natural language data.
 Turing Test:
In 1950 Alan Turing, a computer scientist developed this test which still holds ground. It is to
distinguish human and computer intelligence regarding conversation. This test until now
remains a challenge to be not yet entirely successful. But NLP is the best software as of date
to provide possible computer conversations similar to that of humans.
 Machine learning:
Machine learning is at the core of many NLP platforms. It plays an essential and crucial role
in training the chatbot. For many businesses, it is fast becoming part of the tech toolbox
powering chatbots. They help in writing summary articles and filtering spam or social media
messages. ML mainly enhances mass-accomplishing tasks to derive wisdom analyzing
crowd’s billions of conversations with cool math.
The work of machine learning could not be matched even by any team of experts. ML needs
a massive amount of data to get the highest level of accuracy. NLP uses ML to expand
chatbot vocabulary and also to transfer dictionary from one bot to another.
 Fundamental meaning:
Fundamental meaning is a way of approach to NLP to understand words by breaking down
conversations. Each word is broken down looking for two things. One is the intent which
gives the information of what it is asking to do. The other is the entity or the essential data
required to complete the task. With FL, NLP adds new synonyms to the bot’s vocabulary.
The best approach of NLP could be the combination of both ML & FL. This combination also
helps minimize the defects of NLP chatbots. The continuous learning ability of ML with the
intent and entities created by FL makes a successful NLP chatbot.

4.  Deep learning:
Deep learning is a technology that empowers bots to acquire inputs given by users. Also, it
enables to analyze the intent and generate a response just like a human. With default
responses in place with deep learning, it allows bots to even answer beyond their scope. This
deep learning technology is vital for any customer-facing bot for it’s near to human
responses.
 Syntax:
It is one of the most commonly researched tasks in NLP that have direct real-time
applications. Parsing which is a syntactic analysis of a string of symbols in natural or
computer language and data structures. It is according to the rules of formal grammar. The
others include
 Lemmatization
 Grammar induction
 Morphological segmentation
 Sentence breaking
 Word segmentation
 Part of speech tagging
 Terminology extraction
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