Add BERTopic model
Browse files- README.md +179 -0
- config.json +15 -0
- topic_embeddings.safetensors +3 -0
- topics.json +0 -0
README.md
ADDED
@@ -0,0 +1,179 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
|
2 |
+
---
|
3 |
+
tags:
|
4 |
+
- bertopic
|
5 |
+
library_name: bertopic
|
6 |
+
pipeline_tag: text-classification
|
7 |
+
---
|
8 |
+
|
9 |
+
# respapers_topics
|
10 |
+
|
11 |
+
This is a [BERTopic](https://github.com/MaartenGr/BERTopic) model.
|
12 |
+
BERTopic is a flexible and modular topic modeling framework that allows for the generation of easily interpretable topics from large datasets.
|
13 |
+
|
14 |
+
## Usage
|
15 |
+
|
16 |
+
To use this model, please install BERTopic:
|
17 |
+
|
18 |
+
```
|
19 |
+
pip install -U bertopic
|
20 |
+
```
|
21 |
+
|
22 |
+
You can use the model as follows:
|
23 |
+
|
24 |
+
```python
|
25 |
+
from bertopic import BERTopic
|
26 |
+
topic_model = BERTopic.load("CCatalao/respapers_topics")
|
27 |
+
|
28 |
+
topic_model.get_topic_info()
|
29 |
+
```
|
30 |
+
|
31 |
+
## Topic overview
|
32 |
+
|
33 |
+
* Number of topics: 112
|
34 |
+
* Number of training documents: 29961
|
35 |
+
|
36 |
+
<details>
|
37 |
+
<summary>Click here for an overview of all topics.</summary>
|
38 |
+
|
39 |
+
| Topic ID | Topic Keywords | Topic Frequency | Label |
|
40 |
+
|----------|----------------|-----------------|-------|
|
41 |
+
| -1 | data - model - paper - time - based | 20 | -1_data_model_paper_time |
|
42 |
+
| 0 | spin - magnetic - phase - quantum - temperature | 12937 | 0_spin_magnetic_phase_quantum |
|
43 |
+
| 1 | mass - star - stars - 10 - stellar | 3048 | 1_mass_star_stars_10 |
|
44 |
+
| 2 | reinforcement - reinforcement learning - learning - policy - robot | 2564 | 2_reinforcement_reinforcement learning_learning_policy |
|
45 |
+
| 3 | logic - semantics - programs - automata - languages | 556 | 3_logic_semantics_programs_automata |
|
46 |
+
| 4 | neural - networks - neural networks - deep - training | 478 | 4_neural_networks_neural networks_deep |
|
47 |
+
| 5 | networks - community - network - social - nodes | 405 | 5_networks_community_network_social |
|
48 |
+
| 6 | word - translation - language - words - sentence | 340 | 6_word_translation_language_words |
|
49 |
+
| 7 | object - 3d - camera - pose - localization | 298 | 7_object_3d_camera_pose |
|
50 |
+
| 8 | classification - label - classifier - learning - classifiers | 294 | 8_classification_label_classifier_learning |
|
51 |
+
| 9 | convex - gradient - stochastic - convergence - optimization | 287 | 9_convex_gradient_stochastic_convergence |
|
52 |
+
| 10 | graphs - graph - vertices - vertex - edge | 284 | 10_graphs_graph_vertices_vertex |
|
53 |
+
| 11 | brain - neurons - connectivity - neural - synaptic | 273 | 11_brain_neurons_connectivity_neural |
|
54 |
+
| 12 | robots - robot - planning - control - motion | 255 | 12_robots_robot_planning_control |
|
55 |
+
| 13 | prime - numbers - polynomials - integers - zeta | 245 | 13_prime_numbers_polynomials_integers |
|
56 |
+
| 14 | tensor - rank - matrix - low rank - pca | 226 | 14_tensor_rank_matrix_low rank |
|
57 |
+
| 15 | power - energy - grid - renewable - load | 222 | 15_power_energy_grid_renewable |
|
58 |
+
| 16 | channel - power - mimo - interference - wireless | 219 | 16_channel_power_mimo_interference |
|
59 |
+
| 17 | adversarial - attacks - adversarial examples - attack - examples | 208 | 17_adversarial_attacks_adversarial examples_attack |
|
60 |
+
| 18 | gan - gans - generative - generative adversarial - adversarial | 200 | 18_gan_gans_generative_generative adversarial |
|
61 |
+
| 19 | media - social - twitter - users - social media | 196 | 19_media_social_twitter_users |
|
62 |
+
| 20 | posterior - monte - monte carlo - carlo - bayesian | 190 | 20_posterior_monte_monte carlo_carlo |
|
63 |
+
| 21 | estimator - estimators - regression - quantile - estimation | 189 | 21_estimator_estimators_regression_quantile |
|
64 |
+
| 22 | software - code - developers - projects - development | 178 | 22_software_code_developers_projects |
|
65 |
+
| 23 | regret - bandit - armed - arm - multi armed | 177 | 23_regret_bandit_armed_arm |
|
66 |
+
| 24 | omega - mathbb - solutions - boundary - equation | 177 | 24_omega_mathbb_solutions_boundary |
|
67 |
+
| 25 | numerical - scheme - mesh - method - order | 175 | 25_numerical_scheme_mesh_method |
|
68 |
+
| 26 | causal - treatment - outcome - effects - causal inference | 174 | 26_causal_treatment_outcome_effects |
|
69 |
+
| 27 | curvature - mean curvature - riemannian - ricci - metric | 164 | 27_curvature_mean curvature_riemannian_ricci |
|
70 |
+
| 28 | control - distributed - systems - consensus - agents | 156 | 28_control_distributed_systems_consensus |
|
71 |
+
| 29 | groups - group - subgroup - subgroups - finite | 153 | 29_groups_group_subgroup_subgroups |
|
72 |
+
| 30 | segmentation - images - image - convolutional - medical | 148 | 30_segmentation_images_image_convolutional |
|
73 |
+
| 31 | market - portfolio - asset - price - volatility | 144 | 31_market_portfolio_asset_price |
|
74 |
+
| 32 | recommendation - user - item - items - recommender | 138 | 32_recommendation_user_item_items |
|
75 |
+
| 33 | algebra - algebras - lie - mathfrak - modules | 131 | 33_algebra_algebras_lie_mathfrak |
|
76 |
+
| 34 | quantum - classical - circuits - annealing - circuit | 121 | 34_quantum_classical_circuits_annealing |
|
77 |
+
| 35 | moduli - varieties - projective - curves - bundles | 119 | 35_moduli_varieties_projective_curves |
|
78 |
+
| 36 | graph - embedding - node - graphs - network | 117 | 36_graph_embedding_node_graphs |
|
79 |
+
| 37 | codes - decoding - channel - code - capacity | 113 | 37_codes_decoding_channel_code |
|
80 |
+
| 38 | sparse - signal - recovery - sensing - measurements | 107 | 38_sparse_signal_recovery_sensing |
|
81 |
+
| 39 | knot - knots - homology - invariants - link | 103 | 39_knot_knots_homology_invariants |
|
82 |
+
| 40 | spaces - hardy - operators - mathbb - boundedness | 95 | 40_spaces_hardy_operators_mathbb |
|
83 |
+
| 41 | blockchain - security - privacy - authentication - encryption | 90 | 41_blockchain_security_privacy_authentication |
|
84 |
+
| 42 | turbulence - turbulent - flow - flows - reynolds | 89 | 42_turbulence_turbulent_flow_flows |
|
85 |
+
| 43 | privacy - differential privacy - private - differential - data | 86 | 43_privacy_differential privacy_private_differential |
|
86 |
+
| 44 | epidemic - disease - infection - infected - infectious | 83 | 44_epidemic_disease_infection_infected |
|
87 |
+
| 45 | citation - scientific - research - journal - papers | 82 | 45_citation_scientific_research_journal |
|
88 |
+
| 46 | surface - droplet - fluid - liquid - droplets | 81 | 46_surface_droplet_fluid_liquid |
|
89 |
+
| 47 | chemical - molecules - molecular - protein - learning | 79 | 47_chemical_molecules_molecular_protein |
|
90 |
+
| 48 | kähler - manifolds - manifold - complex - metrics | 77 | 48_kähler_manifolds_manifold_complex |
|
91 |
+
| 49 | games - game - players - nash - player | 74 | 49_games_game_players_nash |
|
92 |
+
| 50 | patients - patient - clinical - ehr - care | 73 | 50_patients_patient_clinical_ehr |
|
93 |
+
| 51 | music - musical - audio - chord - note | 70 | 51_music_musical_audio_chord |
|
94 |
+
| 52 | visual - shot - image - cnns - learning | 70 | 52_visual_shot_image_cnns |
|
95 |
+
| 53 | speaker - speech - end - recognition - speech recognition | 70 | 53_speaker_speech_end_recognition |
|
96 |
+
| 54 | cell - cells - tissue - active - tumor | 69 | 54_cell_cells_tissue_active |
|
97 |
+
| 55 | eeg - brain - signals - sleep - subjects | 69 | 55_eeg_brain_signals_sleep |
|
98 |
+
| 56 | fairness - fair - discrimination - decision - algorithmic | 67 | 56_fairness_fair_discrimination_decision |
|
99 |
+
| 57 | clustering - clusters - data - based clustering - cluster | 66 | 57_clustering_clusters_data_based clustering |
|
100 |
+
| 58 | relativity - black - solutions - einstein - spacetime | 65 | 58_relativity_black_solutions_einstein |
|
101 |
+
| 59 | mathbb - curves - elliptic - conjecture - fields | 62 | 59_mathbb_curves_elliptic_conjecture |
|
102 |
+
| 60 | stokes - navier - navier stokes - equations - stokes equations | 61 | 60_stokes_navier_navier stokes_equations |
|
103 |
+
| 61 | species - population - dispersal - ecosystem - populations | 60 | 61_species_population_dispersal_ecosystem |
|
104 |
+
| 62 | reconstruction - ct - artifacts - image - images | 58 | 62_reconstruction_ct_artifacts_image |
|
105 |
+
| 63 | algebra - algebras - mathcal - alpha - crossed | 58 | 63_algebra_algebras_mathcal_alpha |
|
106 |
+
| 64 | tiling - polytopes - set - polygon - polytope | 58 | 64_tiling_polytopes_set_polygon |
|
107 |
+
| 65 | mobile - video - network - latency - computing | 57 | 65_mobile_video_network_latency |
|
108 |
+
| 66 | latent - variational - vae - generative - inference | 55 | 66_latent_variational_vae_generative |
|
109 |
+
| 67 | players - game - team - player - teams | 54 | 67_players_game_team_player |
|
110 |
+
| 68 | genes - gene - cancer - expression - sequencing | 53 | 68_genes_gene_cancer_expression |
|
111 |
+
| 69 | forcing - kappa - definable - cardinal - zfc | 51 | 69_forcing_kappa_definable_cardinal |
|
112 |
+
| 70 | dna - protein - folding - proteins - molecule | 50 | 70_dna_protein_folding_proteins |
|
113 |
+
| 71 | spaces - space - metric - metric spaces - topology | 49 | 71_spaces_space_metric_metric spaces |
|
114 |
+
| 72 | speech - separation - source separation - enhancement - speaker | 49 | 72_speech_separation_source separation_enhancement |
|
115 |
+
| 73 | imaging - resolution - light - diffraction - phase | 47 | 73_imaging_resolution_light_diffraction |
|
116 |
+
| 74 | traffic - traffic flow - prediction - temporal - transportation | 46 | 74_traffic_traffic flow_prediction_temporal |
|
117 |
+
| 75 | climate - precipitation - sea - flood - extreme | 45 | 75_climate_precipitation_sea_flood |
|
118 |
+
| 76 | audio - sound - event detection - event - bird | 43 | 76_audio_sound_event detection_event |
|
119 |
+
| 77 | memory - storage - cache - performance - write | 40 | 77_memory_storage_cache_performance |
|
120 |
+
| 78 | wishart - matrices - eigenvalue - free - smallest | 39 | 78_wishart_matrices_eigenvalue_free |
|
121 |
+
| 79 | domain - domain adaptation - adaptation - transfer - target | 39 | 79_domain_domain adaptation_adaptation_transfer |
|
122 |
+
| 80 | glass - glasses - glassy - amorphous - liquids | 39 | 80_glass_glasses_glassy_amorphous |
|
123 |
+
| 81 | gpu - gpus - nvidia - code - performance | 38 | 81_gpu_gpus_nvidia_code |
|
124 |
+
| 82 | face - face recognition - facial - recognition - faces | 38 | 82_face_face recognition_facial_recognition |
|
125 |
+
| 83 | stock - market - price - financial - stocks | 37 | 83_stock_market_price_financial |
|
126 |
+
| 84 | reaction - flux - metabolic - growth - biochemical | 34 | 84_reaction_flux_metabolic_growth |
|
127 |
+
| 85 | fleet - routing - vehicles - ride - traffic | 34 | 85_fleet_routing_vehicles_ride |
|
128 |
+
| 86 | cooperation - evolutionary - game - social - payoff | 33 | 86_cooperation_evolutionary_game_social |
|
129 |
+
| 87 | students - courses - student - course - education | 33 | 87_students_courses_student_course |
|
130 |
+
| 88 | action - temporal - video - recognition - videos | 33 | 88_action_temporal_video_recognition |
|
131 |
+
| 89 | irreducible - group - mathcal - representations - let | 32 | 89_irreducible_group_mathcal_representations |
|
132 |
+
| 90 | phylogenetic - tree - trees - species - gene | 32 | 90_phylogenetic_tree_trees_species |
|
133 |
+
| 91 | processes - drift - asymptotic - estimators - stationary | 31 | 91_processes_drift_asymptotic_estimators |
|
134 |
+
| 92 | wave - waves - water - free surface - shallow water | 30 | 92_wave_waves_water_free surface |
|
135 |
+
| 93 | distributed - gradient - byzantine - communication - sgd | 30 | 93_distributed_gradient_byzantine_communication |
|
136 |
+
| 94 | voters - voting - election - voter - winner | 30 | 94_voters_voting_election_voter |
|
137 |
+
| 95 | gaussian process - gaussian - gp - process - gaussian processes | 30 | 95_gaussian process_gaussian_gp_process |
|
138 |
+
| 96 | mathfrak - gorenstein - ring - rings - modules | 29 | 96_mathfrak_gorenstein_ring_rings |
|
139 |
+
| 97 | motivic - gw - cohomology - dm - category | 29 | 97_motivic_gw_cohomology_dm |
|
140 |
+
| 98 | recurrent - lstm - rnn - recurrent neural - memory | 28 | 98_recurrent_lstm_rnn_recurrent neural |
|
141 |
+
| 99 | semigroup - semigroups - xy - ordered - pt | 27 | 99_semigroup_semigroups_xy_ordered |
|
142 |
+
| 100 | robot - robots - human - human robot - children | 25 | 100_robot_robots_human_human robot |
|
143 |
+
| 101 | categories - category - homotopy - functor - grothendieck | 25 | 101_categories_category_homotopy_functor |
|
144 |
+
| 102 | queue - queues - server - scheduling - customer | 24 | 102_queue_queues_server_scheduling |
|
145 |
+
| 103 | topic - topics - topic modeling - lda - documents | 24 | 103_topic_topics_topic modeling_lda |
|
146 |
+
| 104 | synchronization - oscillators - chimera - coupling - coupled | 24 | 104_synchronization_oscillators_chimera_coupling |
|
147 |
+
| 105 | stochastic - existence - equation - solutions - uniqueness | 24 | 105_stochastic_existence_equation_solutions |
|
148 |
+
| 106 | fractional - derivative - derivatives - integral - psi | 23 | 106_fractional_derivative_derivatives_integral |
|
149 |
+
| 107 | lasso - regression - estimator - estimators - bootstrap | 23 | 107_lasso_regression_estimator_estimators |
|
150 |
+
| 108 | soil - moisture - machine - resolution - seismic | 22 | 108_soil_moisture_machine_resolution |
|
151 |
+
| 109 | bayesian optimization - optimization - acquisition - bayesian - bo | 21 | 109_bayesian optimization_optimization_acquisition_bayesian |
|
152 |
+
| 110 | urban - city - mobility - cities - social | 21 | 110_urban_city_mobility_cities |
|
153 |
+
|
154 |
+
</details>
|
155 |
+
|
156 |
+
## Training hyperparameters
|
157 |
+
|
158 |
+
* calculate_probabilities: False
|
159 |
+
* language: None
|
160 |
+
* low_memory: False
|
161 |
+
* min_topic_size: 10
|
162 |
+
* n_gram_range: (1, 1)
|
163 |
+
* nr_topics: None
|
164 |
+
* seed_topic_list: None
|
165 |
+
* top_n_words: 10
|
166 |
+
* verbose: True
|
167 |
+
|
168 |
+
## Framework versions
|
169 |
+
|
170 |
+
* Numpy: 1.22.4
|
171 |
+
* HDBSCAN: 0.8.33
|
172 |
+
* UMAP: 0.5.3
|
173 |
+
* Pandas: 1.5.3
|
174 |
+
* Scikit-Learn: 1.2.2
|
175 |
+
* Sentence-transformers: 2.2.2
|
176 |
+
* Transformers: 4.29.2
|
177 |
+
* Numba: 0.56.4
|
178 |
+
* Plotly: 5.13.1
|
179 |
+
* Python: 3.10.11
|
config.json
ADDED
@@ -0,0 +1,15 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"calculate_probabilities": false,
|
3 |
+
"language": null,
|
4 |
+
"low_memory": false,
|
5 |
+
"min_topic_size": 10,
|
6 |
+
"n_gram_range": [
|
7 |
+
1,
|
8 |
+
1
|
9 |
+
],
|
10 |
+
"nr_topics": null,
|
11 |
+
"seed_topic_list": null,
|
12 |
+
"top_n_words": 10,
|
13 |
+
"verbose": true,
|
14 |
+
"embedding_model": "sentence-transformers/all-MiniLM-L6-v2"
|
15 |
+
}
|
topic_embeddings.safetensors
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:a385e60ba20043e9956256f27c2bc9d3d7a20118ee8ef26a73ab0bccd52061ef
|
3 |
+
size 172120
|
topics.json
ADDED
The diff for this file is too large to render.
See raw diff
|
|