DataHour: Sentiment Analysis from Scratch!

DataHour Recording

About the DataHour:

Natural Language Processing (NLP) is a hotbed of research in data science these days and one of the most common applications of NLP is sentiment analysis. From opinion polls to creating entire marketing strategies, this domain has completely reshaped the way businesses work, which is why this is an area every data scientist must be familiar with.

Let's code a Sentiment Analysis project from scratch using Python (100% hands-on) together in the live session. In this DataHour, Prashant will cover regular NLP tasks, e.g., data cleaning using regex, stopwords, stemming, lemmatization & finally visualizing the results. Furthermore we'll do feature extraction on textual data (Bag of Words models) followed by ML model building & evaluation (incl. hyperparam tuning using pipelines!)

Prerequisites: Basic understanding of Python programming and strong interest in NLP.

P.S it is advised to attend DataHour: Text Pre-processing using NLTK and Python for a better understanding of this DataHour.

Who is this DataHour for?

• Students & Freshers who want to build a career in the Data-tech domain.
• Working professionals who want to transition to the Data-tech domain.
• Data science professionals who want to accelerate their career growth

Speaker:

Prashant Sahu

Manager - Data Science Trainings at Analytics Vidhya

Prashant Sahu is a passionate Corporate Trainer & Consultant with more than 10 years of experience in Data Analytics, Machine Learning & Deep Learning applications. Currently working with Analytics Vidhya as Manager for Data Science Trainings, and is finishing his PhD from IIT Bombay. 

Connect with Prashant on linkedin