Problem Description

• Comprehensive analysis on NewsApi using Natural Language Processing (NLP).

• Analyze the emotions and predict stock movements.

• Mitigate the risk involved and make an informed decision .

• Stock’s performance have impact from historical information or current events.

• AI & ML algorithms help predict in the closest range possible.

Data

• HTTP REST API : “NEWS API”
• GET request providing the query parameters : Stock, Name and Timestamp.
• Data cleaning and transformation on the resulting JSON response.

Analytics plan

• Exploratory data analysis
• Data cleaning
• Tools: RStudio, RMarkdown
• Libraries: keras, matplotlib, newsapi etc.
• Natural Language Processing, Sentiment Analysis

Evaluation Plan

We will evaluate our results based on the sentiment and corresponding stock movement. We can showcast this by using sklearn library and matplotlib for data analysis and visualization.