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Sentiment Analysis Most Asked Interview Questions and Code in Python: Crack Analytics Interview
The Data Monk presents another topic with all the possible interview questions for the post of Analyst, Data Scientist, Business Analysts, Analytics Manager, and people who want to make a career in the Analytics domain.
Start as a beginner, take up this book and as soon as you give a complete reading, you will be well versed with a lot of topics that are asked in interviews related to Natural Language Processing and Sentiment Analysis.
We have taught 5000+ students online. Do check our website www.TheDataMonk.com and our Youtube Channel The Data Monk
Machine Learning is one of the greatest modern-day development in the field of Data Science. It has numerous applications all over the world in different domains, be it in Digital Media and Entertainment, Healthcare, Marketing, Banking and Financial, Insurance, Transportation, Automobile, and the list goes on.
However, observing a similarity in the given applications of machine learning we learn that it mostly deals in numbers and values. With growing applications of Machine Learning we surely see an improved professional experience around us, but can this technology help us with our personal life as well? Can we ask our google assistant “Hey Google! How are my emotions today?” or “Hey Google! How am I feeling today?” and expect a sensible reply?
Well, yes! With the ongoing improvements in the field of Machine Learning and Sentiment Analysis, we can surely expect something sensible out of these seemingly ridiculous questions.
Start as a beginner, take up this book and as soon as you give a complete reading, you will be well versed with a lot of topics that are asked in interviews related to Natural Language Processing and Sentiment Analysis.
We have taught 5000+ students online. Do check our website www.TheDataMonk.com and our Youtube Channel The Data Monk
Machine Learning is one of the greatest modern-day development in the field of Data Science. It has numerous applications all over the world in different domains, be it in Digital Media and Entertainment, Healthcare, Marketing, Banking and Financial, Insurance, Transportation, Automobile, and the list goes on.
However, observing a similarity in the given applications of machine learning we learn that it mostly deals in numbers and values. With growing applications of Machine Learning we surely see an improved professional experience around us, but can this technology help us with our personal life as well? Can we ask our google assistant “Hey Google! How are my emotions today?” or “Hey Google! How am I feeling today?” and expect a sensible reply?
Well, yes! With the ongoing improvements in the field of Machine Learning and Sentiment Analysis, we can surely expect something sensible out of these seemingly ridiculous questions.
34 pages, Kindle Edition
Published January 8, 2022
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