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
Fine-grained Analysis
Analyzing sentiment through AI driven algorithms.
- Positive
- Neutral
- Negative
Emotion detection
Detect emotions to identify the tonality.
- Positive
- Neutral
- Negative
Multilingual analysis
Multilingual support for sentiment analysis.
- Positive
- Neutral
- Negative
How it's works
Text
Read text from news media, social media and user feedback.
ML Algorithms
Multiple ML models to process the text.
Classifying Model
Classifying models to extract tonality from the text.
Prediction
Using Prediktive Modeling to assess the future impact.
Benefits With Us
Prediktive insights
We have a team of Sentiment Analysis experts that bring a breadth of expertise.
Bring Ideas to life
We bring your ideas to life. If you have a requirement, we can deliver it.
Proficiency
We use existing models to build systems that are efficient and reliable.
Training and Support
We provide training and knowledge transfer services for In house maintenance.
