Conduced a π πΆπ°πΏπΌππΌπ³π π£πΌππ²πΏ ππ hands-on training program to the students from π¨π»πΆππ²πΏππΆππ πΌπ³ ππΌπΉπΌπΊπ―πΌ. Taught them how to cleanse and perform an analysis atop raw data within a few minutes using Microsoft Power BI, which is an essential skill set required to pursue nowadays. There were 180+ students who participated in the training.
Step-by-Step Twitter Sentiment Analysis Using Power BI Streaming Dataset, Microsoft Flow and Azure Text API
Sentiment Analysis is known as Opinion mining or emotion AI which is a branch of Natural Language Processing and text analytics where systematically identify, extract, quantify, and study affective states and subjective information. This kind a analysis widely apply to analyse the product or service reviews, voice of the customer, survey responses from online and social media feeds to analyze the attitude of the customer. Basically from the sentiment analysis the output would be either Positive, Negative or Neutral. There are various algorithms and methods to do a sentiment analysis out there. In this post here I'm doing a sentiment analysis for iPhone 8 product by analyzing twitter feeds. Because, I wanted to know what others are thinking about the latest phone released by Apple. In order to do this task I'm using, Microsoft Azure cognitive services : Text Analytics (to run the sentiment analysis algorithms to get out the results) Microsoft Flow ...
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