On this planet, anyone can express their views about
anything under the Sun without fear. We all love this fact; it is close to our
heart and we cherish it like anything. However, there is a small glitch here. Imagine
a scenario in which you are the owner of a product-based company and someone [your
competitor!] started publishing negative statements about your product [which is
your bread & butter!] through social media [Facebook, WhatsApp, Twitter,
etc].
What you do? How you respond or react? How you stop that ‘someone’
from making any further negative publicity about your product or brand? Before
all this, how you first of all know when that ‘someone’ started making negative
publicity and why?
Most of the times what happens is that the respective
company does not even know about a derogatory statement or an allegation made
by its competitor in a particular social media channel until someone known
enlightens them about it. Unfortunately, by that time, irreversible damage
would have been done and the respective brand or product might have lost its
popularity by considerable percentage in the market.
The answer to all the above questions lies in ‘Sentiment
Analytics’. If you start listening for your brand or product related statements
using any sentiment analytics application, then the moment anyone mentions a predefined
keyword [given by you!], your application sniffs it out and alerts you about
the mention along with its +ve or –ve polarity. Be it in any website, social
media, news channels, blogs, etc, you will be in full command when it comes to controlling
publicity of your respective product or brand.
In summary, Sentiment Analytics applications with in-built
Natural Language Processor [NLP] can save you from this kind of unwanted publicity
damage.
Why don’t you try?
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