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What is Sentiment Analysis?

Sentiment analysis (also known as opinion mining or emotion AI) is the use of natural language processing, text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information.

  • Polarity: if the speaker express a positive or negative opinion,
  • Subject: the thing that is being talked about
  • Opinion holder: the person, or entity that expresses the opinion.

Types of Sentiment Analysis

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Fine-grained Analysis

Analyzing sentiment through AI driven algorithms.

  • Positive
  • Neutral
  • Negative
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Emotion detection

Detect emotions to identify the tonality.

  • Positive
  • Neutral
  • Negative
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Multilingual analysis

Multilingual support for sentiment analysis.

  • Positive
  • Neutral
  • Negative

How it's works

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Text

Read text from news media, social media and user feedback.

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ML Algorithms

Multiple ML models to process the text.

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Classifying Model

Classifying models to extract tonality from the text.

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Prediction

Using Prediktive Modeling to assess the future impact.

Benefits With Us

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Prediktive insights

We have a team of Sentiment Analysis experts that bring a breadth of expertise.

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Bring Ideas to life

We bring your ideas to life. If you have a requirement, we can deliver it.

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Proficiency

We use existing models to build systems that are efficient and reliable.

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Training and Support

We provide training and knowledge transfer services for In house maintenance.

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