Chevron Left
Natural Language Processing for Stocks News Analysis に戻る

Coursera Project Network による Natural Language Processing for Stocks News Analysis の受講者のレビューおよびフィードバック


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....



Natural Language Processing for Stocks News Analysis: 1 - 2 / 2 レビュー

by Venkata S


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

by dulal


Very good course