pankajbiswas6 commited on
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Fix directory links (blob->tree) so folder navigation works; dedupe repeated thesis logo

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README.md CHANGED
@@ -147,7 +147,7 @@ Full tables: [model comparison](tables/model_comparison.csv), [six-variation swe
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  SHAP analysis on GloVe+BiLSTM shows the model attends to profanity and abuse tokens for the hate class.
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  False negatives concentrate on obfuscated or romanized Hindi abuse and code-switch boundaries; false
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- positives on aggressive but non-hateful phrasing. Plots: [`phase5/shap/`](phase5/shap).
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  ## 5. Discussion
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  SHAP analysis on GloVe+BiLSTM shows the model attends to profanity and abuse tokens for the hate class.
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  False negatives concentrate on obfuscated or romanized Hindi abuse and code-switch boundaries; false
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+ positives on aggressive but non-hateful phrasing. Plots: [`phase5/shap/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase5/shap).
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  ## 5. Discussion
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THESIS.md CHANGED
@@ -48,7 +48,6 @@
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  > **Session: 2022-2026**
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  >
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- > <img src="thesis_media/media/image1.jpeg" style="width:3.32826in;height:0.94444in" alt="A logo for a university Description automatically generated" />
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  #
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@@ -68,7 +67,6 @@
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  >
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  > **Place: Guwahati**
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  >
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- > <img src="thesis_media/media/image1.jpeg" style="width:3.28438in;height:1.075in" alt="A logo for a university Description automatically generated" />
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  # FORWARDING CERTIFICATE
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  > **Session: 2022-2026**
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  >
 
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  #
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  >
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  > **Place: Guwahati**
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  >
 
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  # FORWARDING CERTIFICATE
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phase1/README.md CHANGED
@@ -20,5 +20,5 @@
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  lookups, setting the baseline for the hybrid models.
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  ## Files
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- - Notebooks: [`notebooks/`](notebooks/) - Dataset_Split, Fasttext
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- - Figures: [`figures/`](figures/) - accuracy/loss curves, confusion matrix, ROC
 
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  lookups, setting the baseline for the hybrid models.
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  ## Files
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+ - Notebooks: [`notebooks/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase1/notebooks) - Dataset_Split, Fasttext
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+ - Figures: [`figures/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase1/figures) - accuracy/loss curves, confusion matrix, ROC
phase2/README.md CHANGED
@@ -18,6 +18,6 @@
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  strategy in Phase 3.
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  ## Files
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- - Notebooks: [`notebooks/`](notebooks/) - fasttext_bilstm_monolingual
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- - Figures: [`figures/`](figures/) - confusion matrix, ROC, train/val accuracy and loss
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  - Tables: [`tables/metrics_table.csv`](tables/metrics_table.csv)
 
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  strategy in Phase 3.
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  ## Files
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+ - Notebooks: [`notebooks/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase2/notebooks) - fasttext_bilstm_monolingual
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+ - Figures: [`figures/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase2/figures) - confusion matrix, ROC, train/val accuracy and loss
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  - Tables: [`tables/metrics_table.csv`](tables/metrics_table.csv)
phase3/README.md CHANGED
@@ -24,6 +24,6 @@
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  motivating the multi-stage curriculum in Phase 6.
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  ## Files
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- - Figures: [`figures/`](figures/) - per-language accuracy curves
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- - Tables: [`tables/`](tables/) - strategy_results_table, master_metrics, final_results
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- - Models: [`models/`](models/) - english_bilstm.h5, hindi_bilstm.h5, hinglish_bilstm.h5
 
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  motivating the multi-stage curriculum in Phase 6.
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  ## Files
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+ - Figures: [`figures/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase3/figures) - per-language accuracy curves
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+ - Tables: [`tables/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase3/tables) - strategy_results_table, master_metrics, final_results
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+ - Models: [`models/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase3/models) - english_bilstm.h5, hindi_bilstm.h5, hinglish_bilstm.h5
phase4/README.md CHANGED
@@ -24,7 +24,7 @@
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  - High specificity but low recall: the LSTM variants lean toward the majority (non-hate) class.
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  ## Files
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- - Notebooks: [`notebooks/`](notebooks/) - many_to_one_lstm, ManytooneLSTM
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- - Figures: [`figures/`](figures/) - per-language accuracy curves
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- - Tables: [`tables/`](tables/) - master_metrics, metrics
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- - Models: [`models/`](models/) - combined/english/hindi/hinglish BiLSTM
 
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  - High specificity but low recall: the LSTM variants lean toward the majority (non-hate) class.
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  ## Files
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+ - Notebooks: [`notebooks/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase4/notebooks) - many_to_one_lstm, ManytooneLSTM
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+ - Figures: [`figures/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase4/figures) - per-language accuracy curves
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+ - Tables: [`tables/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase4/tables) - master_metrics, metrics
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+ - Models: [`models/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase4/models) - combined/english/hindi/hinglish BiLSTM
phase5/README.md CHANGED
@@ -16,8 +16,8 @@
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  obfuscated or romanized Hindi abuse, a concrete target for future preprocessing.
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  ## Files
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- - Figures: [`figures/`](figures/) - per-language confusion matrix, ROC, PR, F1, train curves
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- - SHAP: [`shap/`](shap/) - false-positive and false-negative force plots plus waterfall samples
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  (representative subset; the full set of ~1,390 plots was generated during training)
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- - Tables: [`tables/`](tables/) - final_results, fp_fn_samples
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- - Models: [`models/`](models/) - english/hindi/hinglish/full_dataset best (.h5)
 
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  obfuscated or romanized Hindi abuse, a concrete target for future preprocessing.
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  ## Files
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+ - Figures: [`figures/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase5/figures) - per-language confusion matrix, ROC, PR, F1, train curves
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+ - SHAP: [`shap/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase5/shap) - false-positive and false-negative force plots plus waterfall samples
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  (representative subset; the full set of ~1,390 plots was generated during training)
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+ - Tables: [`tables/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase5/tables) - final_results, fp_fn_samples
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+ - Models: [`models/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase5/models) - english/hindi/hinglish/full_dataset best (.h5)
phase6/README.md CHANGED
@@ -29,10 +29,10 @@
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  minority-language failure mode rather than a working result.
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  ## Files
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- - Notebooks: [`notebooks/`](notebooks/) - regular and sequential training for each embedding,
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  plus glove_bilstm_shap_xai
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- - Figures: [`figures/`](figures/) - confusion / ROC / accuracy / loss for all six orderings
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- - Tables: [`tables/`](tables/) - per-ordering result tables and final_results.
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  Note: the per-ordering CSVs are the raw training exports (headerless). A clean, labeled
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  version is at [`../tables/multistage_six_variations_glove_bilstm.csv`](../tables/multistage_six_variations_glove_bilstm.csv).
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- - Models: [`models/`](models/) - one model per language ordering (.h5)
 
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  minority-language failure mode rather than a working result.
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  ## Files
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+ - Notebooks: [`notebooks/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase6/notebooks) - regular and sequential training for each embedding,
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  plus glove_bilstm_shap_xai
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+ - Figures: [`figures/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase6/figures) - confusion / ROC / accuracy / loss for all six orderings
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+ - Tables: [`tables/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase6/tables) - per-ordering result tables and final_results.
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  Note: the per-ordering CSVs are the raw training exports (headerless). A clean, labeled
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  version is at [`../tables/multistage_six_variations_glove_bilstm.csv`](../tables/multistage_six_variations_glove_bilstm.csv).
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+ - Models: [`models/`](https://huggingface.co/pankajbiswas6/hinglish-hate-speech-bilstm/tree/main/phase6/models) - one model per language ordering (.h5)