Features of Sentiment Analysis

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Table of Contents
What is Sentiment Analysis?

What are key sentiment analysis features?

An API with the best sentiment analysis features
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10 Features of sentiment analysis To Look Out For

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Sentiment analysis is a type of data analytics
that deals specifically with text that expresses
various forms of emotions - from love to hate. An
emotion mining API with its precision-laden
sentiment analysis features prompts the digital
transformation of organizations through their big
data. Big data needs to be leveraged and so it
must be mined for insights that companies can use
to formulate solutions and strategies for growth.
After all, to be data-driven does not just mean
data-gathering but truly understanding it as well.
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What is Sentiment Analysis?
Some of the most useful insights are opinions and
feelings that customers and consumers express
about their purchase journey and experience. The
process of extracting and scoring this type of
customer data is called sentiment analysis or
sentiment mining.

When applied, sentiment analysis rates chunks of
such text data as positive, neutral or negative.
It empowers you to understand your customers,
employees, or patients better - regardless of
your industry or countries. This is how a good
multilingual sentiment analysis software can help
boost your business intelligence and build brand
reputation.
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What are key sentiment analysis features?
Key features that are essential in a sentiment
monitoring tool are multilingual efficacy,
precise aspect-based sentiment analysis, named
entity recognition, and an effective
visualization dashboard. The following list has
more details on the features and benefits you
should look at, if you are in the market for a
sentiment analysis tool.
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How is sentiment analysis on reviews done?
1. Data Gathering Gather and prepare your data
that you want to analyze whether its internal
(customer feedback) or external data (reviews
from rating sites). To prepare the data for text
analysis, all you need to do is put it into a CSV
or XLS document format. 2. Apply Review Sentiment
Analysis API Run your input data through your
sentiment analytics API. It will quickly return
sentiment scores for each relevant review topic,
aspect, or entity ranging from -1 for negative
emotions, 0 for neutral feelings, and 1 for
positive sentiment. 3. Sentiment Analysis
Dashboard Once you receive the sentiment
scoring, you can use various different data
visualization tools like Power BI, Tableau, or
Repustates Sentiment analysis dashboard to
quickly turn your data into visual reports. These
reports are made up of charts, graphs and tables
to discover trends, patterns, and actionable
insights in your data.
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An API with the best sentiment analysis features
An API with the best sentiment analysis
featuresRepustates sentiment analysis engine is
supported by the worlds most efficient named
entity recognition (NER). The intuitive sentiment
analysis solution comprises all the top ten
sentiment analysis features noted above and is
driven by its NER that is the foundation of the
engines deep semantic search capability. Because
of this, the model gives a stellar performance in
the four most important areas - accuracy,
granularity, languages, and speed. The very fact
that our sentiment analysis API supports more
than 23 languages natively, tells you how
painstakingly the corpus for each language has
been manually curated and tagged by our data
scientists over a decade, and the model trained
to achieve more than an 85 accuracy rate.
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