Why does Microsoft Text analytics API return neutral sentiment for a sentence with strong negative connotation?

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I am trying to build app to analyze sentiment of survey data using Microsoft Analytics API. One of the survey response has Strong negative connotation

Personally, there is not a company in the world that needs this product

but API returns a score of 50. What is the reason for this ?

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microsoft-cognitiveazure-cognitive-servicestext-analytics-api

1 Answers

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I just tried on their page and it looks like it has changed and is reporting back a sentiment of 73%.

Sentiment

I think I know why, though. In the "key phrases" the word "not" wasn't picked up. Looking at the stop words from nltk, it seems that "not" is a stop word.

from nltk.corpus import stopwords

stop_words = stopwords.words("english")

[word for word in stop_words if word == "not"]  # Returns ['not']

Since "not" may have been removed as a stop word there is no negativity to give a negative sentiment.