Stock-Market-Analysis

Stock-Market-Analysis

The project is about searching the text mining for classification using bag of words #bagofwords and applying machine learning models on this.

Few popular hashtags -

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Motivation

About the Project

Steps involved in this project

Explanation

Libraries Used

Installation

• Install randomForest using pip command: install.packages("randomForest")
• Install caret using pip command: install.packages("caret")
• Install mlr using pip command: install.packages("mlr")
• Install MASS using pip command: install.packages("MASS")

How to run?

Project Reports

• Download for the report.

Useful Links

1. Why Term Frequency is better than TF-IDF for text classification
2. Naïve Bayes Classification for 20 News Group Dataset
3. Analyzing word and document frequency: tf-idf
4. Natural Language Processing
5. K Nearest Neighbor in R
6. MLR Package

Related Work

Text Mining Analyzer - A Detailed Report on the Analysis

Contributing

• Clone this repository:

git clone https://github.com/iamsivab/Stock-Market-Analysis.git

• Check out any issue from here.

• Make changes and send Pull Request.

Need help?

📧 Feel free to contact me @ balasiva001@gmail.com

License

MIT © Sivasubramanian