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2017 - Contact: Darryl Date 248-722-4035
Email: Darryl Date@gMail.com
According to
industry estimates, only 21% of the available data is present in structured form. Data is being generated as
we speak, as we tweet, as we send messages on Whatsapp and in various other activities.
Majority of this data exists in
the textual form, which is highly unstructured in nature.
Despite having high dimension data, the information present in it is not directly accessible unless it is processed (read and understood) manually or analyzed by an automated system.
In order to produce significant and actionable insights from text data, it is important to get acquainted with the techniques and principles of Natural Language Processing (NLP).
Few notorious examples include – tweets /
posts on social media, user to user chat conversations, news, blogs and
articles, product or services reviews and patient records in the healthcare
sector. A few more recent ones includes chatbots and other voice driven
bots.
Despite having high dimension data, the information present in it is not directly accessible unless it is processed (read and understood) manually or analyzed by an automated system.
In order to produce significant and actionable insights from text data, it is important to get acquainted with the techniques and principles of Natural Language Processing (NLP).
