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Sentiment Analysis and Prediction in Python

Learn how to build a machine learning model predicting sentiment.
Justin Saddlemyer
Justin Saddlemyer

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Google로 계속하기계속 진행하시면 다음 사항에 동의하는 것으로 간주됩니다: 이용약관 및 개인정보 처리방침 그리고 귀하의 데이터가 미국에 저장된다는 점에 동의하는 것으로 간주됩니다.

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In this live training, you will build a machine learning model to predict the sentiment of a review using the contents of the review.

We walk through all steps of the machine learning process, from importing the text data, tokenizing and vectorizing the text samples up to training a classifier and evaluating its performance.

Key takeaways

  • Load in and inspect a csv file with Python

  • Tokenize and vectorize text data to build numerical features for prediction

  • Build a classifier that can predict the sentiment of a review

  • Calculate and assess the performance of a classifier

Materials

  • Sign up for DataLab (it's free!)

주제

Data ScienceMachine LearningPythonData Scientist

관련

튜토리얼

Python Sentiment Analysis Tutorial

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NLTK Sentiment Analysis Tutorial for Beginners

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