Building Emotionally Intelligent Apps using Azure AI

English Intermediate Other

A wealth of unstructured opinion data exists online today. Every day, millions of consumers express their views and opinions regarding products and services. These opinions are subjective information that represents the user’s sentiments, feelings, or appraisal related to the same. Though volunteered, it contains the raw, unsolicited views and opinions about a brand, individual, or event. Using this information product reviews, social media posts, and discussion forums, businesses can identify trends in customer sentiment, find what drives customer satisfaction, and react to negative feedback. The challenge is of analyzing and making sense of this data at scale. Natural Language Processing (NLP), and specifically Sentiment Analysis, provides an automated way to categorize this feedback into positive, neutral, and negative categories. Opinion Mining can add greater depth to the understanding of customer sentiment and provide a more granular view of the data in the voice of the customer. Join me as we discuss the science of using text analysis to understand the drivers of public sentiment, using the latest innovations from Azure AI.


Liji Thomas

Manager, Modern Application Development, Valorem Reply

Liji is a technophile with over a decade's industry experience in technical and leadership roles. As Manager (Modern Application Development) at Valorem Reply, she leads a team of digital transformation consultants. She's passionate about emerging technologies, particularly building AI-powered (delightful) experiences for a global clientele.

Code of Conduct

We seek to provide a respectful, friendly, professional experience for everyone, regardless of gender, sexual orientation, physical appearance, disability, age, race or religion. We do not tolerate any behavior that is harassing or degrading to any individual, in any form. The Code of Conduct will be enforced.

Who does this Code of Conduct apply to?

All live stream organizers using the Global Azure brand and Global Azure speakers are responsible for knowing and abiding by these standards. Each speaker who wishes to submit through our Call for Presentations needs to read and accept the Code of Conduct. We encourage every organizer and attendee to assist in creating a welcoming and safe environment. Live stream organizers are required to inform and enforce the Code of Conduct if they accept community content to their stream.

Where can I get help?

If you are being harassed, notice that someone else is being harassed, or have any other concerns, report it. Please report any concerns, suspicious or disruptive activity or behavior directly to any of the live stream organizers, or directly to the Global Azure admins at All reports to the Global admin team will remain confidential.

Code of Conduct for local live streams

We expect local organizers to set up and enforce a Code of Conduct for all Global Azure live stream.

A good template can be found at, including internationalized versions at An excellent version of a Code of Conduct, not a template, is built by the DDD Europe conference at