Sentiment Analyisis of Resource Scarce Languages

Sentiment Analysis is a NLP technique which is used to determine the emotion in a text. It determines whether the text is in a positive, negative or neutral sense. This is possible for languages that have an abundant amount of resources but the question arises when the language's resources are scarce. In this session we will go over how sentiment analysis is done for resource scarce languages and also Azure Text Analytics API and how it works.

Rama Soumya  Naraparaju

Rama Soumya Naraparaju

Microsoft Learn Student Ambassador

Other sessions from: Global AI Student Conference - April 2021

Analyze unformatted text faster using Azure Cognitive Services
Analyze unformatted text faster using Azure Cognitive Services

Do you think that using AI to analyze text is too hard? Do you think it...

Luisa Gonzalez Luisa Gonzalez
Sharif Nasser Sharif Nasser
Introduction to Machine Learning
Introduction to Machine Learning

This session will cover an introduction to machine learning, types of machi...

Duc Hieu Ho Duc Hieu Ho
Roadmap to Machine Learning
Roadmap to Machine Learning

In this opening talk, we will give an overview of Global AI Student Confere...

Kunal Kushwaha Kunal Kushwaha
Data Collection for Human Action Recognition
Data Collection for Human Action Recognition

We will be sharing on a project we are currently working on, building a...

Makena Sandra Makena Sandra
collins emasi collins emasi
Create no-code ML Models with Azure Machine Learning and Microsoft Learn
Create no-code ML Models with Azure Machine Learning and Microsoft Learn

Learn how to build a no-code regression model with Azure Machine Learning...

Foteini Savvidou Foteini Savvidou
Acknowledging Edge AI and its fantastic applications.
Acknowledging Edge AI and its fantastic applications.

In this session we will be appreciating the beautiful blend of AI and edge...

Raghav Rawat Raghav Rawat