Enixta reveals breakthrough in aspect based sentiment analysis

Our Capabilities

The analysis is done on the following broad categories - Clothing, Movies, Travel, Mobiles and Toys and it was found that in all categories,
Smaartpulse was able to generate better than Google NLP and IBM Watson!

CATEGORIES IN CONTEST
CLOTHING
MOVIES
TRAVEL
MOBILES
TOYS
In
82%
reviews Enixta matches with leading similar players in this space
In
70%
cases Enixta was correct in identifying the emotion
In categories like Travel, where sentiments are tangible, Enixta scores
97%
as compared to Google's 87% for the same category!
In a challenging category like Movies where words such as horror, fear, scared, zombies, demons are
misinterpreted by ML as negative sentiment,
In spite of this Enixta fares better (+15%) than Google in recognizing the right sentiments/aspects.
Google:
71%
Enixta:
86%
Enixta
reads/recognises sentiments where others mark the text as neutral!
Overall sentiment analysis
YES
YES
YES
YES
All players including Enixta offer this as feature
Aspect-based
Sentiment Analysis
N/A
N/A
YES
Google does sentiment analysis at sentence level while Enixta analyses the phrases
but Amazon and IBM do it at a review level
Aspect Level Clustering
NO
NO
NO
YES
Google, IBM and Amazon provide sentiments without the aspect details.
Review with
mixed sentiments
(positive & negative)
NO
NO
YES
YES
If a sentence has two contrasting sentiments on a couple of aspects,
Google and IBM picks up only the dominant one, Amazon marks it as Mixed while Enixta picks up both.
Context awareness
in review text
NO
NO
NO
YES
Enixta is more context-aware and therefore will disregard, when there are no discernable aspects in the reviews.
Emotion analysis
for a review
NO
YES
NO
YES
IBM picks up only the intensity of the emotion while Enixta goes deeper in generating intensity as well as insights.
Accuracy
79%
#
#
87%
# We could not compute for IBM and Amazon as they provide sentiment analysis at a review level and not phrase level.
Google: Google Natural Language Sentiment Extraction
IBM: Watson
Amazon: Comprehend
Enixta: Smaartpulse

Enixta's focused approach to AI insights, based on deep understanding of the specific
needs of retail and brand owners has been shown to be more effective than generic
NLP approaches from Google, Amazon, IBM, and Microsoft.

Enixta does Sentiment Classification better than Google
sentiment classification

Companies can get better
deeper sentiment/emotion insights at a
faster and cost-effective rate compared
to alternative approaches.

We find that Enixta is able to come up with a deeper insight into the text analysis than the leading
natural language processing systems like Google Cloud Natural Language, IBM and Amazon Comprehend.
Click on a category and then a review to view the output
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ENIXTA
GOOGLE
The comparison was done on unbiased/neutral dataset. *Data was extracted from neutral public dataset (http://jmcauley.ucsd.edu/data/amazon)