Stock-Market-Sentiment-Analysis
Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka
How to download and setup Stock-Market-Sentiment-Analysis
Open terminal and run command
git clone https://github.com/gandalf1819/Stock-Market-Sentiment-Analysis.git
git clone is used to create a copy or clone of Stock-Market-Sentiment-Analysis repositories.
You pass git clone a repository URL. it supports a few different network protocols and corresponding URL formats.
Also you may download zip file with Stock-Market-Sentiment-Analysis https://github.com/gandalf1819/Stock-Market-Sentiment-Analysis/archive/master.zip
Or simply clone Stock-Market-Sentiment-Analysis with SSH
[email protected]:gandalf1819/Stock-Market-Sentiment-Analysis.git
If you have some problems with Stock-Market-Sentiment-Analysis
You may open issue on Stock-Market-Sentiment-Analysis support forum (system) here: https://github.com/gandalf1819/Stock-Market-Sentiment-Analysis/issuesSimilar to Stock-Market-Sentiment-Analysis repositories
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