How does the performance of a Bidirectional LSTM neural network compare to that of a LinearSVC in terms of classification accuracy, precision, recall, and F1 Score when analysing sentiments in financial news?SL
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A
Official IB Result
IB Grade: A
Criteria A: Focus and Method
6/6
0
3
6
Criteria StrandsPro
A.1Topic Communication
Excellent
A.2Research Question
Excellent
A.3Methodology
Excellent
Criteria Feedback
- Clear and consistent communication of the investigation’s topic and purpose throughout the report
- Research question is explicitly stated, narrowly focused, and remains central to all sections
- Methodology is thorough, with a full procedure, control‐variable table, and justified selection of tools and data sources
- Minor gaps in methodological critique of online notebook and ChatGPT adaptations
- Control‐variable table could specify exact hyperparameter values
Criteria B: Knowledge and Understanding
6/6
0
3
6
Criteria StrandsPro
B.1Subject Knowledge
Good
B.2Use of Terminology
Excellent
Criteria Feedback
- Accurate and consistent use of key terminology (TF-IDF, hinge loss, overfitting, validation accuracy)
- Effective integration of relevant sources to explain SVM theory and LSTM gating mechanisms
- Clear articulation of the societal context and significance of sentiment analysis
- Minor technical oversimplifications in activation‐function formulas (omitted bias term)
- Nonstandard presentation of the F1 score formula
Criteria C: Critical Thinking
10/12
0
6
12
Criteria StrandsPro
C.1Research Application
Good
C.2Analysis
Good
C.3Discussion and Evaluation
Moderate
Criteria Feedback
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Criteria D: Presentation
4/4
0
2
4
Criteria StrandsPro
D.1Structure
Excellent
D.2Layout
Excellent
Criteria Feedback
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- Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.
- Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur.
- Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.