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Mahdi-HF
/
IdentifyingKeyDriversOfInvestorSentimentInCryptocurrencyMarketsThroughTopicModeling
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114 crypto currencies with daily data from 2010-07-17 till 2025-04-12.
114 crypto currencies with daily data from 2010-07-17 till 2025-04-12.
cluster naming
cluster naming
cluster_results
cluster_results
cluster_results_final
cluster_results_final
cluster_results_final_old
cluster_results_final_old
model_out
model_out
model_out_pooled
model_out_pooled
model_out_pooled_cs
model_out_pooled_cs
model_out_step4
model_out_step4
out_binary
out_binary
out_continuous
out_continuous
outputs
outputs
per_token_results
per_token_results
stuff
stuff
.gitignore
.gitignore
THEME_LABELING_GUIDE.md
THEME_LABELING_GUIDE.md
adf_test_results.json
adf_test_results.json
all_cryptos_historical_data.json
all_cryptos_historical_data.json
all_cryptos_prices_df.csv
all_cryptos_prices_df.csv
analyze_topic_counts.py
analyze_topic_counts.py
analyze_up_down_rates.py
analyze_up_down_rates.py
cluster2_1_subclusters.csv
cluster2_1_subclusters.csv
cluster2_subclusters.csv
cluster2_subclusters.csv
cluster_descriptions.txt
cluster_descriptions.txt
cluster_topic_summary.csv
cluster_topic_summary.csv
cluster_topic_summary_merged.csv
cluster_topic_summary_merged.csv
compound_avg_by_day_cluster_theme.csv
compound_avg_by_day_cluster_theme.csv
comprehensive_regression_analysis.csv
comprehensive_regression_analysis.csv
comprehensive_regression_analysis.json
comprehensive_regression_analysis.json
cryptocurrency_correlation_matrix.txt
cryptocurrency_correlation_matrix.txt
cryptocurrency_correlation_matrix_sorted.txt
cryptocurrency_correlation_matrix_sorted.txt
cv_report.csv
cv_report.csv
cv_report_tree.csv
cv_report_tree.csv
dataset_52-person-from-2021-02-05_2023-06-12_21-34-17-266_with_sentiment.csv
dataset_52-person-from-2021-02-05_2023-06-12_21-34-17-266_with_sentiment.csv
dataset_cluster_daily.csv
dataset_cluster_daily.csv
dataset_cluster_daily_lagged.csv
dataset_cluster_daily_lagged.csv
df-preprocessed-with-processed-description-head-10.csv
df-preprocessed-with-processed-description-head-10.csv
df-preprocessed-with-processed-description-sample-1000.csv
df-preprocessed-with-processed-description-sample-1000.csv
df.csv
df.csv
df_enhanced_with_topics.csv
df_enhanced_with_topics.csv
df_with_topics.csv
df_with_topics.csv
df_with_topics_with_cluster.csv
df_with_topics_with_cluster.csv
df_without_topics.csv
df_without_topics.csv
features_cluster_daily.csv
features_cluster_daily.csv
filtered_cryptos_data.json
filtered_cryptos_data.json
financial_tweets_with_tickers.csv
financial_tweets_with_tickers.csv
getMetaData.py
getMetaData.py
kpss_test_results.json
kpss_test_results.json
lagged_dataset_cluster_daily.csv
lagged_dataset_cluster_daily.csv
lda_crypto_model.pkl
lda_crypto_model.pkl
lda_vectorizer.pkl
lda_vectorizer.pkl
log_returns.csv
log_returns.csv
main-accumulateResults.ipynb
main-accumulateResults.ipynb
main-bert_topic_theming.py
main-bert_topic_theming.py
main-clustering.ipynb
main-clustering.ipynb
main-deprecated.ipynb
main-deprecated.ipynb
main-labeler.py
main-labeler.py
main-postProcess.ipynb
main-postProcess.ipynb
main-pre-tp.ipynb
main-pre-tp.ipynb
main-prediction-deprecated.ipynb
main-prediction-deprecated.ipynb
main-relabel_and_rebuild.py
main-relabel_and_rebuild.py
main-returns-by-cluster.ipynb
main-returns-by-cluster.ipynb
main-sentiment_by_cluster_topic_date.ipynb
main-sentiment_by_cluster_topic_date.ipynb
main-theme2Return-perCluster.ipynb
main-theme2Return-perCluster.ipynb
main-theme2Return.ipynb
main-theme2Return.ipynb
main-topicModeling-perToken.ipynb
main-topicModeling-perToken.ipynb
main-topicModeling.ipynb
main-topicModeling.ipynb
merge_summary_report.json
merge_summary_report.json
name_to_theme_mapping.json
name_to_theme_mapping.json
panel_topic_surprise_returns.csv
panel_topic_surprise_returns.csv
panel_topic_surprise_returns_horizons.csv
panel_topic_surprise_returns_horizons.csv
perm_importance_cluster_1.0.csv
perm_importance_cluster_1.0.csv
perm_importance_cluster_2.0.csv
perm_importance_cluster_2.0.csv
perm_importance_cluster_3.0.csv
perm_importance_cluster_3.0.csv
perm_importance_cluster_4.0.csv
perm_importance_cluster_4.0.csv
perm_importance_cluster_6.0.csv
perm_importance_cluster_6.0.csv
perm_importance_tree_cluster_1.0.csv
perm_importance_tree_cluster_1.0.csv
perm_importance_tree_cluster_2.0.csv
perm_importance_tree_cluster_2.0.csv
perm_importance_tree_cluster_3.0.csv
perm_importance_tree_cluster_3.0.csv
perm_importance_tree_cluster_4.0.csv
perm_importance_tree_cluster_4.0.csv
perm_importance_tree_cluster_6.0.csv
perm_importance_tree_cluster_6.0.csv
random_forest_model.pkl
random_forest_model.pkl
returns-by-cluster.csv
returns-by-cluster.csv
returns-for-clustering.csv
returns-for-clustering.csv
returns.csv
returns.csv
returns2.csv
returns2.csv
sentiment_by_cluster_topic_date.csv
sentiment_by_cluster_topic_date.csv
simple_topic_analysis.py
simple_topic_analysis.py
targets_cluster_daily.csv
targets_cluster_daily.csv
taxonomy.json
taxonomy.json
taxonomy_utils.py
taxonomy_utils.py
text.txt
text.txt
theme_names_reference.md
theme_names_reference.md
token_clusters.csv
token_clusters.csv
token_names.py
token_names.py
token_topic_to_name_mapping.json
token_topic_to_name_mapping.json
topic_analysis_cluster_summary.csv
topic_analysis_cluster_summary.csv
topic_analysis_detailed_results.csv
topic_analysis_detailed_results.csv
topic_analysis_report.txt
topic_analysis_report.txt
topic_analysis_token_summary.csv
topic_analysis_token_summary.csv
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