Assignment Tasks:
Data Acquisition:
V2Tone BigQuery:
Access and extract sentiment data for your assigned companies/countries from V2Tone BigQuery.
ProQuest TDM Studio Visualization Dashboard:
Utilize the ProQuest TDM Studio Visualization Dashboard tool to obtain sentiment data (see https://tdmstudio.proquest.com/home; Note that registration with a Northeastern email address is required).
Reference the following guides for assistance:
Visualization Dashboard Overview
Visualization Project
Geographical Analysis
Topic Modeling
Sentiment Visualization
Affect Classification
Sentiment Over Time
Sentiment Articles
Export Data
Sentiment Analysis Implementation:
Using Python:
Implement sentiment analysis in your financial model using Python.
Utilize NLP Python materials and libraries such as NLTK, spaCy, scikit-learn, and transformers for sentiment analysis tasks.
Reference Week 6 syllabus project goals and Week 6 readings to guide your implementation.
Comparative Analysis:
Analyze Differences:
Compare and analyze the sentiment results obtained from V2Tone BigQuery and ProQuest TDM Studio.
Discuss the differences in outcomes and consider the underlying reasons based on Week 6 readings and your project goals.
Explore how different data acquisition methods influence sentiment analysis results.
Impact Analysis:
Assess Impact:
Analyze the impact of sentiment on your model outcomes.
Evaluate how incorporating sentiment data affects market dynamics and model performance.