During the week 13 and week 14, I focused on completing the report, presentation and updating the blog with project progress.
I did further investigation on research papers. Here are the methods used to train the model in related articles as below.
| Article | Method |
| Telmo, K. A. B., et al. (2024) Sentiment Analysis of Student Evaluation for Teachers Using Valence-Aware Dictionary and Sentiment Reasoner | Valence-Aware Dictionary and Sentiment Reasoner (VADER) for sentiment analysis. |
| Shukla, S. S. P., & Singh, M. P. (2024) Identifying Key Indicators Words of Suicidal Ideation Through Ensemble Voting Classifier Learning Methods | NLP techniques and variety of machine learning models including Decision Tree, Random Forest, Bernoulli Naïve Bayes, Gradient Boosting, XGBoost, and an Ensemble voting classifier method that combines Random Forest, Gradient Boosting, and XGBoost. |
| Homan, S., et al. (2022) Linguistic Features of Suicidal Thoughts and Behaviors: A Systematic Review | cross-reference technique to identify additional relevant papers by reviewing papers that cited articles in which linguistic features in individuals with STBs appeared |
| Armoogum, S., et al. (2024) Breast Cancer Prediction Using Metrics-Based Classification | ML algorithms, including Random Forest, Decision Tree, Support Vector Machine, Logistic Regression, Gaussian Naive Bayes, and K-nearest Neighbors |
| Sachdeva, R. K., et al. (2024) A Novel K-Nearest Neighbor Classifier for Lung Cancer Disease Diagnosis | K-Nearest Neighbor (KNN) and performance of standard classifiers: SVM, LR, NB, RF, and KNN have been evaluated for lung cancer disease diagnosis. |
| Wongkar, M., & Angdresey, A. (2019) Sentiment Analysis Using Naive Bayes Algorithm of the Data Crawler: Twitter – In this study, a sentiment analysis application for twitter analysis was conducted on 2019 Republic of Indonesia presidential candidates, using the python programming language | Naïve Bayes |
| Lubis, A. R., et al. (2022) The Feature Extraction for Classifying Words on Social Media with the Naïve Bayes Algorithm | Naïve Bayes |
| Jean, G. (2024). Semantic Link Analysis: Using semantic analysis techniques to evaluate the relevance of external links to the content of the Wikipedia article. | Bidirectional Encoder Representations from Transformers (BERT) |
| Disha, D. N., et al. (2023) Advances in Natural Language Processing and Deep Learning for Document Summarization | Deep Learning methods, including Transformers and BERT-based models. |
| Su, Y., et al. (2024) A Large Language Model to Detect Negated Expressions in Radiology Reports | Large Language Models (LLM), likely transformer-based models such as BERT or GPT. |
I completed the final report for Assessment 4 by adding Abstract, Introduction, Literature review, Methodology, Results, Discussion and Conclusion.
Presentation was completed as below.
Finally I submitted the report and update the Blog with project progress.