About the webinar
Social media is one of the richest sources of data for brands. According to Domo's 'Data never sleeps' report, every single minute 456,000 tweets are posted on Twitter, 46,740 photos are uploaded on Instagram and 510,000 comments & 293,000 statuses are updated on Facebook.
This data contains valuable information like product feedback or reviews and information that can be used to better understand users or find valuable insights. However, traditional ways struggle to analyze the unstructured data and this is where sentiment analysis using machine learning comes to the rescue!, Machine learning can help to understand the text and extract the sentiment using Natural Language Processing. Sentiment analysis can be applied in a range of business applications like - social media channel analysis, 360-degree customer insights, user reviews, competitive analysis, and many more.
What you will learn
How businesses are leveraging sentiment analysis to their advantage
Best practice to automate machine learning models in hours not months
Demo: How to build a twitter sentiment analysis model
Speaker(s) & Panelist(s):
Technology enthusiast with 13+ years of experience working in the information technology and services industry. Leads cutting-edge solutions for businesses using Machine Learning and Artificial Intelligence.
Lead - Data Science
Extensive experience working at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.
Bikash Kumar Sharma
Chief Technology Officer at Skyl.ai
CTO & Software Architect with close to 15 years of experience whose passion lies in building great products while enabling others to perform their roles more effectively. Lead at the forefront of innovative projects, building future tech using Machine Learning and Artificial Intelligence.