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返回到 Natural Language Processing for Stocks News Analysis

學生對 Coursera Project Network 提供的 Natural Language Processing for Stocks News Analysis 的評價和反饋

課程概述

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....

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1 - Natural Language Processing for Stocks News Analysis 的 3 個評論(共 3 個)

創建者 Venkata S

2021年2月25日

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

創建者 dulal

2021年7月10日

Very good course

創建者 Eduardo V B

2021年12月2日

N​ice introduction class.