tmtoolkit
v0.11.2
Contents:
Installation
Getting started
Working with text corpora
Text preprocessing and basic text mining
Working with the Bag-of-Words representation
Topic modeling
API
Development
Version history
tmtoolkit
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Index
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Index
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__init__() (tmtoolkit.topicmod.parallel.MultiprocEvaluationRunner method)
(tmtoolkit.topicmod.parallel.MultiprocEvaluationWorkerABC method)
(tmtoolkit.topicmod.parallel.MultiprocModelsRunner method)
(tmtoolkit.topicmod.parallel.MultiprocModelsWorkerABC method)
A
applychain() (in module tmtoolkit.utils)
argsort() (in module tmtoolkit.utils)
as_chararray() (in module tmtoolkit.utils)
AVAILABLE_METRICS (in module tmtoolkit.topicmod.tm_gensim)
(in module tmtoolkit.topicmod.tm_lda)
(in module tmtoolkit.topicmod.tm_sklearn)
C
codoc_frequencies() (in module tmtoolkit.bow.bow_stats)
combine_sparse_matrices_columnwise() (in module tmtoolkit.utils)
compute_models_parallel() (in module tmtoolkit.topicmod.tm_gensim)
(in module tmtoolkit.topicmod.tm_lda)
(in module tmtoolkit.topicmod.tm_sklearn)
create_sparse_dtm() (in module tmtoolkit.bow.dtm)
D
DEFAULT_METRICS (in module tmtoolkit.topicmod.tm_gensim)
(in module tmtoolkit.topicmod.tm_lda)
(in module tmtoolkit.topicmod.tm_sklearn)
DEFAULT_WORDCLOUD_KWARGS (in module tmtoolkit.topicmod.visualize)
dict2df() (in module tmtoolkit.utils)
disable_logging() (in module tmtoolkit.utils)
doc_frequencies() (in module tmtoolkit.bow.bow_stats)
doc_lengths() (in module tmtoolkit.bow.bow_stats)
dtm_and_vocab_to_gensim_corpus_and_dict() (in module tmtoolkit.bow.dtm)
dtm_to_dataframe() (in module tmtoolkit.bow.dtm)
dtm_to_gensim_corpus() (in module tmtoolkit.bow.dtm)
E
empty_chararray() (in module tmtoolkit.utils)
enable_logging() (in module tmtoolkit.utils)
evaluate_topic_models() (in module tmtoolkit.topicmod.tm_gensim)
(in module tmtoolkit.topicmod.tm_lda)
(in module tmtoolkit.topicmod.tm_sklearn)
exclude_topics() (in module tmtoolkit.topicmod.model_stats)
F
filter_topics() (in module tmtoolkit.topicmod.model_stats)
fit_model() (tmtoolkit.topicmod.parallel.MultiprocModelsWorkerABC method)
flatten_list() (in module tmtoolkit.utils)
G
generate_topic_labels_from_top_words() (in module tmtoolkit.topicmod.model_stats)
generate_wordcloud_from_probabilities_and_words() (in module tmtoolkit.topicmod.visualize)
generate_wordcloud_from_weights() (in module tmtoolkit.topicmod.visualize)
generate_wordclouds_for_document_topics() (in module tmtoolkit.topicmod.visualize)
generate_wordclouds_for_topic_words() (in module tmtoolkit.topicmod.visualize)
generate_wordclouds_from_distribution() (in module tmtoolkit.topicmod.visualize)
gensim_corpus_to_dtm() (in module tmtoolkit.bow.dtm)
greedy_partitioning() (in module tmtoolkit.utils)
I
idf() (in module tmtoolkit.bow.bow_stats)
idf_probabilistic() (in module tmtoolkit.bow.bow_stats)
index_windows_around_matches() (in module tmtoolkit.tokenseq)
L
ldamodel_full_doc_topics() (in module tmtoolkit.topicmod.model_io)
ldamodel_full_topic_words() (in module tmtoolkit.topicmod.model_io)
ldamodel_top_doc_topics() (in module tmtoolkit.topicmod.model_io)
ldamodel_top_topic_docs() (in module tmtoolkit.topicmod.model_io)
ldamodel_top_topic_words() (in module tmtoolkit.topicmod.model_io)
ldamodel_top_word_topics() (in module tmtoolkit.topicmod.model_io)
least_distinct_words() (in module tmtoolkit.topicmod.model_stats)
least_probable_words() (in module tmtoolkit.topicmod.model_stats)
least_relevant_words_for_topic() (in module tmtoolkit.topicmod.model_stats)
least_salient_words() (in module tmtoolkit.topicmod.model_stats)
linebreaks_win2unix() (in module tmtoolkit.utils)
load_ldamodel_from_pickle() (in module tmtoolkit.topicmod.model_io)
M
marginal_topic_distrib() (in module tmtoolkit.topicmod.model_stats)
marginal_word_distrib() (in module tmtoolkit.topicmod.model_stats)
mat2d_window_from_indices() (in module tmtoolkit.utils)
merge_dicts() (in module tmtoolkit.utils)
merge_sets() (in module tmtoolkit.utils)
metric_arun_2010() (in module tmtoolkit.topicmod.evaluate)
metric_cao_juan_2009() (in module tmtoolkit.topicmod.evaluate)
metric_coherence_gensim() (in module tmtoolkit.topicmod.evaluate)
metric_coherence_mimno_2011() (in module tmtoolkit.topicmod.evaluate)
metric_griffiths_2004() (in module tmtoolkit.topicmod.evaluate)
metric_held_out_documents_wallach09() (in module tmtoolkit.topicmod.evaluate)
module
tmtoolkit.bow.bow_stats
tmtoolkit.bow.dtm
tmtoolkit.tokenseq
tmtoolkit.topicmod
tmtoolkit.topicmod.evaluate
tmtoolkit.topicmod.model_io
tmtoolkit.topicmod.model_stats
tmtoolkit.topicmod.parallel
tmtoolkit.topicmod.tm_gensim
tmtoolkit.topicmod.tm_lda
tmtoolkit.topicmod.tm_sklearn
tmtoolkit.utils
most_distinct_words() (in module tmtoolkit.topicmod.model_stats)
most_probable_words() (in module tmtoolkit.topicmod.model_stats)
most_relevant_words_for_topic() (in module tmtoolkit.topicmod.model_stats)
most_salient_words() (in module tmtoolkit.topicmod.model_stats)
MultiprocEvaluationRunner (class in tmtoolkit.topicmod.parallel)
MultiprocEvaluationWorkerABC (class in tmtoolkit.topicmod.parallel)
MultiprocModelsRunner (class in tmtoolkit.topicmod.parallel)
MultiprocModelsWorkerABC (class in tmtoolkit.topicmod.parallel)
N
npmi() (in module tmtoolkit.tokenseq)
numbertoken_to_magnitude() (in module tmtoolkit.tokenseq)
P
parameters_for_ldavis() (in module tmtoolkit.topicmod.visualize)
path_split() (in module tmtoolkit.utils)
pickle_data() (in module tmtoolkit.utils)
plot_doc_topic_heatmap() (in module tmtoolkit.topicmod.visualize)
plot_doc_topic_ranked_prob() (in module tmtoolkit.topicmod.visualize)
plot_eval_results() (in module tmtoolkit.topicmod.visualize)
plot_heatmap() (in module tmtoolkit.topicmod.visualize)
plot_prob_distrib_ranked_prob() (in module tmtoolkit.topicmod.visualize)
plot_topic_word_heatmap() (in module tmtoolkit.topicmod.visualize)
plot_topic_word_ranked_prob() (in module tmtoolkit.topicmod.visualize)
pmi() (in module tmtoolkit.tokenseq)
pmi2() (in module tmtoolkit.tokenseq)
pmi3() (in module tmtoolkit.tokenseq)
print_ldamodel_distribution() (in module tmtoolkit.topicmod.model_io)
print_ldamodel_doc_topics() (in module tmtoolkit.topicmod.model_io)
print_ldamodel_topic_words() (in module tmtoolkit.topicmod.model_io)
R
read_text_file() (in module tmtoolkit.utils)
results_by_parameter() (in module tmtoolkit.topicmod.evaluate)
run() (tmtoolkit.topicmod.parallel.MultiprocModelsRunner method)
(tmtoolkit.topicmod.parallel.MultiprocModelsWorkerABC method)
S
sample_dict() (in module tmtoolkit.utils)
save_ldamodel_summary_to_excel() (in module tmtoolkit.topicmod.model_io)
save_ldamodel_to_pickle() (in module tmtoolkit.topicmod.model_io)
send_results() (tmtoolkit.topicmod.parallel.MultiprocModelsWorkerABC method)
set_logging_level() (in module tmtoolkit.utils)
shutdown_workers() (tmtoolkit.topicmod.parallel.MultiprocModelsRunner method)
simple_collocation_counts() (in module tmtoolkit.tokenseq)
simplify_unicode_chars() (in module tmtoolkit.tokenseq)
sorted_terms() (in module tmtoolkit.bow.bow_stats)
sorted_terms_table() (in module tmtoolkit.bow.bow_stats)
split_func_args() (in module tmtoolkit.utils)
strip_tags() (in module tmtoolkit.tokenseq)
T
term_frequencies() (in module tmtoolkit.bow.bow_stats)
tf_binary() (in module tmtoolkit.bow.bow_stats)
tf_double_norm() (in module tmtoolkit.bow.bow_stats)
tf_log() (in module tmtoolkit.bow.bow_stats)
tf_proportions() (in module tmtoolkit.bow.bow_stats)
tfidf() (in module tmtoolkit.bow.bow_stats)
tmtoolkit.bow.bow_stats
module
tmtoolkit.bow.dtm
module
tmtoolkit.tokenseq
module
tmtoolkit.topicmod
module
tmtoolkit.topicmod.evaluate
module
tmtoolkit.topicmod.model_io
module
tmtoolkit.topicmod.model_stats
module
tmtoolkit.topicmod.parallel
module
tmtoolkit.topicmod.tm_gensim
module
tmtoolkit.topicmod.tm_lda
module
tmtoolkit.topicmod.tm_sklearn
module
tmtoolkit.utils
module
token_collocations() (in module tmtoolkit.tokenseq)
token_join_subsequent() (in module tmtoolkit.tokenseq)
token_lengths() (in module tmtoolkit.tokenseq)
token_match() (in module tmtoolkit.tokenseq)
token_match_multi_pattern() (in module tmtoolkit.tokenseq)
token_match_subsequent() (in module tmtoolkit.tokenseq)
token_ngrams() (in module tmtoolkit.tokenseq)
top_n_from_distribution() (in module tmtoolkit.topicmod.model_stats)
top_words_for_topics() (in module tmtoolkit.topicmod.model_stats)
topic_word_relevance() (in module tmtoolkit.topicmod.model_stats)
U
unique_chars() (in module tmtoolkit.tokenseq)
unpickle_file() (in module tmtoolkit.utils)
W
word_cooccurrence() (in module tmtoolkit.bow.bow_stats)
word_distinctiveness() (in module tmtoolkit.topicmod.model_stats)
word_saliency() (in module tmtoolkit.topicmod.model_stats)
write_wordclouds_to_folder() (in module tmtoolkit.topicmod.visualize)
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v: v0.11.2
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