{"id":25235689,"url":"https://github.com/kmock930/natural-language-processing","last_synced_at":"2025-07-12T07:33:57.567Z","repository":{"id":276583476,"uuid":"916317592","full_name":"kmock930/Natural-Language-Processing","owner":"kmock930","description":"This project contains codes and paperwork based on the course CSI5386 at University of Ottawa (delivered by Professor Dr. Diana Inkpen).","archived":false,"fork":false,"pushed_at":"2025-05-02T00:56:04.000Z","size":41370,"stargazers_count":1,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-05-02T01:34:50.300Z","etag":null,"topics":["bert","bigram-modeling","corpus-linguistics","distilbert","fasttext-embeddings","glove-embeddings","hugging-face-transformers","large-language-models","lemmatizer","logistic-regression","macro-micro-f1","natural-language-processing","paraphrase-minilm","pos-tagging","roberta-large","sbert","stopwords","text-embedding-ada-002","universal-sentence-encoder","word-tokenizer"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/kmock930.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2025-01-13T21:34:16.000Z","updated_at":"2025-04-25T22:52:14.000Z","dependencies_parsed_at":"2025-03-04T21:27:33.344Z","dependency_job_id":"5566f360-1956-48cf-bec6-8fdb87e8ee17","html_url":"https://github.com/kmock930/Natural-Language-Processing","commit_stats":null,"previous_names":["kmock930/natural-language-processing"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/kmock930/Natural-Language-Processing","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kmock930%2FNatural-Language-Processing","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kmock930%2FNatural-Language-Processing/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kmock930%2FNatural-Language-Processing/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kmock930%2FNatural-Language-Processing/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/kmock930","download_url":"https://codeload.github.com/kmock930/Natural-Language-Processing/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kmock930%2FNatural-Language-Processing/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":264958193,"owners_count":23689010,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["bert","bigram-modeling","corpus-linguistics","distilbert","fasttext-embeddings","glove-embeddings","hugging-face-transformers","large-language-models","lemmatizer","logistic-regression","macro-micro-f1","natural-language-processing","paraphrase-minilm","pos-tagging","roberta-large","sbert","stopwords","text-embedding-ada-002","universal-sentence-encoder","word-tokenizer"],"created_at":"2025-02-11T14:58:50.482Z","updated_at":"2025-07-12T07:33:57.559Z","avatar_url":"https://github.com/kmock930.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Natural Language Processing Work\n## [Assignment 1](./Assignment%201/README.md) - Corpus analysis and sentence embeddings\n\n![Assignment 1 Preview](asm1-preview.png)\n\n## [Assignment 2](./Assignment%202/README.md) - Machine-Generated Text Detection\n\n![Assignment 2 Preview](./Assignment%202/models_comparison.png)\n\n## [Seminar Research](./Seminar%20Paper/Paper%20Presentation%20-%20Group%202.pdf) - Depression Detection\nGiven the rising popularity of social media, there is a risk of negative impacts such as cyberbullying, causing mental health distress to some users. As a result, we dived into an exploration of depression detection with the **DORIS framework** proposed by Lan X., Cheng Y., Sheng L., Gao C., and Li Y. It also forms a basis for our project which aims to perform a NLP-based model targetting suicide detection.\n\n## [Project](./Project/README.md)\n### Summary of Our Work\n* [Project's Proposal](./Project/CSI5386_Natural_Language_Processing_Project_Proposal.pdf)\n* [Presenting from the NLP's Perspective](./Project/Project%20Presentation%20-%20NLP%20Aspects.pdf)\nOur project analyzes suicidal intentions from popular social media platforms, and trains the best model for suicidal detection. Here are the models that we've used. \n* [Our Report](./Project/CSI5386_NLP_Project_Report___Kelvin__Jenifer__Sabrina.pdf)\n\n![Summary of Models](./Project/models_comparison.png)\n\n### Baseline Model\n![Project - Baseline Model](./Project/NLP%20Training/Results/baseline_auc_curve.png)\n\n### Fine-Tuning a Deep Learning based Transformer - DistilBERT\n![Project - Deep Learning based Fine-Tuning DistilBERT Model's Results](./Project/NLP%20Training/Results/Fine-tuned%20DistilBERT%20accuracy_fold_2.png)\n### Added Custom Layers on top of Fine-Tuned DistilBERT\n![Project - Deep Learning based Custom Layers](./Project/NLP%20Training/Results/Custom%20Layers_accuracy_fold_5.png)\n\n![Project - Deep Learning based model resulting AUC](./Project/NLP%20Training/Results/model_2_deep_learning_auc_curve.png)\n\n### LLM-based Model\n![Project - LLM-Based Model - ROC-AUC](./Project/NLP%20Training/Results/model_3_deep_learning_auc_curve.png)\n\n![Project - LLM-based Model - Confusion Matrix](./Project/NLP%20Training/Results/deepseek_confusion_matrix.png)\n\n## Execution Guide\n* [**TMUX**](tmux.md) for idling long executions\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkmock930%2Fnatural-language-processing","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkmock930%2Fnatural-language-processing","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkmock930%2Fnatural-language-processing/lists"}