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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