Sentiment Analysis, Beginner to Expert
What you'll learn
- Sentiment Analysis
- basic programming in python
In this course, we introduce sentiment analysis and its commercial use. More and more businesses are interested in sentiment analysis to know about the wants of their customers and to overcome the limitations they have identified. It has a massive impact on any business these days, as people consult online reviews before making a purchase. In this course will go from a beiginners to expert approach covering the following,
i) Sentiment classification
ii) Dictionary based sentiment analysis
iii) Aspect based sentiment analysis
iv) Deep learning based sentiment classification
Who this course is for:
- beginner python programmers curious about data science and text processing in particular
I am a researcher and an academician since 2011, and have a background of professional software development for around 3 years. As an Assistant Professor in Computer Science faculty I have taught various courses to undergraduate and graduate students. I am particularly interested in courses related to software design and development, databases, artificial intelligence, machine learning and data mining etc.
My PhD research is related to data science and computational linguistics, having worked with large-scale textual data for building knowledge-based systems that are adaptive and evolve with the growing needs without having to explicitly trained for a specific scenario. I have published papers in internationally recognized journals and conferences where we proposed solutions to real-world data analysis issues. I have supervised tens of projects that offered software based solutions for social content analytics, recommendations and tracking evolving public interests.