Finding
a right API for sentiment analysis is not difficult as much due to availability
by many sentiment analysis companies
involved in NLP and sentiments analysis services. Actually the API has dictionary of positive and
negative words of different types, and defines patterns that describe how to
combine these words to find out positive and negative phrases. A Right API for
Positive, Negative and neutral automatically
classifying text by sentiment allows you to easily find out the general
opinions of people in your area of interest.
Google’s
NLP API is best sentiment analysis metrics that helps measure positive and
negative emotions related to a document. Using the Google NLP API a document
labeled angry, sad or hatred would be labeled as negative sentiment while a
document with sentiments such as happy or good or great would be labeled as
positive. Whatever the sentiment, either a positive or negative emotions tied
to it is counted in terms of values more than or lesser than 0, respectively.
However,
people think, Google's sentiment analysis API is just as biased as humans
because it is feeding human based information and concluding like humans. Google
developed its Cloud Natural Language API to give customers a language analyzer
that could reveal the structure and meaning of your text. The tool, which you
can sample here, is designed to give companies a preview of how their
language will be received. Entering whole sentences gives predictive analysis
on each word as well as the statement as a whole. But you can see whether the
API gauges certain words to have negative or positive sentiment, on a -1 to +1
scale, respectively.
Actually,
AI systems are properly trained using texts, media and books given to it; whatever
the Cloud Natural Language API ingested to form its criteria to evaluate
English text for sentiment, it biased the analysis toward negative attribution
of certain descriptive terms. Google didn't confirm to motherboard what corpus
of text it fed the Cloud Natural Language API.
Logically,
even if it started with an isolated set of materials with which to understand
sentiments, once it starts absorbing content from the outside world, well, it
gets polluted with all the negative word associations found therein. Google
confirmed to motherboard that
its NLP API is producing biased results in the aforementioned cases.
Hence,
with the help third party like Cogito
Tech you can find a batter API for sentiment analysis that can give you
unbiased sense of the customers, users
and online audiences. Cogito Tech is expert in training data set for machine
learning and AI based other services. Its sentiment analysis dataset and
training data for sentiment analysis machine learning and NLP
sentiment analysis services helps its customers to find out the true
feelings of the people with accurate results. It can help you find the intelligent
sentiment analysis algorithms or API by providing accurate data labeling
services through highly trained professionals.
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