Why Natural Language Processing?
We are living in a world where we are assisted by virtual assistants. Every information is brought to us in a fraction of time as if we are having a conversation with our dear ones. Even our mood and emotions are rightly interpreted by our beloved virtual assistants. Isn't this technology fascinating? Of course, the answer is yes. And, what makes this possible? The answer is Natural Language processing.
With the boom of
artificial intelligence, a field that has witnessed tremendous advancement is
Natural Language Processing. Generally, the thought arises, What is NLP?
Natural Language Processing is a branch of Artificial Intelligence which deals
with the understanding of human languages.
Before starting to read this amazing post, if you want more unique and amazing information about the latest technologies, Please follow VSquare blogs.
Emerging Importance Of Natural Language Processing
The thought that a
machine can think was put forward by Mr. Alan Turing via Turing Test. This test
came up with the criteria for a machine to be said to understand and properly
interpret human language. In other words, it is the set of criteria a machine
should pass so that it can understand human language effectively.
From Elisa and PARRY,
chat-bots started to evolve. They have traveled a very long way to reach what
it is at the present. Alexa and Google Now have been very efficient in talking
to human beings and having a healthy conversation with them.
Now, Social Media
sites like Telegram and Whatsapp have also started to use chat-bots. This has
been a great milestone in the social media sector.
Apart from virtual
assistants, Natural language processing has played a very important role in
speech recognition and sentiment analysis. Natural Language processing has revolutionized the customer sector. Extracting necessary and required
information from large datasets based on sentiments have now become really
easy.
Another arena where
Natural Processing helped us is spam detection. Using sentiment analysis and
polarity determination, NLP can effectively categorize messages or emails as
spam or not.
Natural
language processing has also made an important step toward helping computers to
speak with people in their own language, whichever it may be. NLP makes it
feasible for computers to understand the text, hear speech, interpret it,
measure sentiment and figure out which parts are significant.
4 Popular Natural Language
Processing Libraries
- Natural language toolkit (NLTK)
- Gate Natural Language Processing library
- Apache Open Natural Language Processing.
- MALLET
Future of Natural Language Processing
It will not be wrong
if we interpret that the future of Natural Language Processing is fruitful.
With more and more advances taking place in each and every sector, Naturallanguage Processing has also been seen to advance tremendously. Now, the
machines can understand what a human speaks to it and also effectively convert
the voice to text without fail. This has always been a challenge in the past.
Also, the chat-bots or virtual assistants in the customer service sector can
also understand the mood of the customer and have conversations accordingly.
This is the most important revolution that came into this sector. With new and
new packages and libraries coming into effect, Natural Language Processing is
advancing at its peak.
Read also:
Conclusion
Natural Language
processing can be said to transform Vision into Reality, Something that was
considered to be nearly impossible in the past has been made into practice with
much accuracy and effectiveness. The capability of machines to converse and indulge
in profitable conversations with human beings is one of the greatest
milestones that was covered. Feel free to explore more.
If you Like this Post about the Why Natural Language Processing? then please Like, Share, and Comment your thoughts about this Informative post and Please Follow us to read more about exciting emerging technologies.
Comments
Post a Comment