Artificial
Intelligence (AI) has revolutionized various industries, and one of its
applications is sentiment analysis. Sentiment analysis, also known as opinion
mining, is the process of determining and classifying the sentiment expressed
in a piece of text. With the advancements in AI, sentiment analysis has become
more accurate and efficient, enabling businesses to gain valuable insights into
customer opinions, perceptions, and emotions.
In this Workshop, we will explore the various aspects of
artificial intelligence for sentiment analysis. We will cover the basics of
sentiment analysis, discuss different approaches and techniques used in
AI-based sentiment analysis, and provide code examples to illustrate key
concepts.
Key
Features:
- Emotion Classification: Identify and categorize emotions such as joy, anger, and sadness from
text data.
- Sentiment Scoring: Quantify the sentiment on a scale (positive, negative, neutral) for
more nuanced insights.
- Real-Time Analysis: Process and analyze large volumes of data in real-time for up-to-date
feedback.
-
Contextual
Understanding: Leverage AI to understand context and nuance in
sentiment beyond simple keyword analysis.
What will you learn?
- In this workshop,
you'll learn the fundamentals of sentiment analysis.
- You'll
explore key NLP techniques and machine learning algorithms for classifying
sentiments.
- The
workshop includes hands-on practice with popular AI frameworks.
- You'll
also learn to pre-process text data and extract features.
- Practical
applications and best practices for deploying sentiment analysis systems will
be covered.
Benefits of attend This Webinar
- Data Interpretation
- Real-World Applications
- Text Pre-processing Techniques
- Hands-on Practice with Sentiment Analysis Tools
- Evaluating and Improving Model Performance
- Applications and Case Studies
