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Natural Language Processing for Stocks News Analysis(으)로 돌아가기

Coursera Project Network의 Natural Language Processing for Stocks News Analysis 학습자 리뷰 및 피드백

강좌 소개

In this hands-on project, we will train a Long Short Term Memory (LSTM) deep learning model to perform stocks sentiment analysis. Natural language processing (NLP) works by converting words (text) into numbers, these numbers are then used to train an AI/ML model to make predictions. In this project, we will build a machine learning model to analyze thousands of Twitter tweets to predict people’s sentiment towards a particular company or stock. The algorithm could be used automatically understand the sentiment from public tweets, which could be used as a factor while making buy/sell decision of securities. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

최상위 리뷰

필터링 기준:

Natural Language Processing for Stocks News Analysis의 3개 리뷰 중 1~3

교육 기관: Venkata S

2021년 2월 25일

Excellent facilitation,usecase and environment.Looking forward to see many many more use case projects in Financial area.

교육 기관: dulal

2021년 7월 10일

Very good course

교육 기관: Eduardo V B

2021년 12월 2일

N​ice introduction class.