unipy_nlp
latest
unipy_nlp
Docs
»
Index
Edit on GitHub
Index
B
|
C
|
D
|
E
|
F
|
G
|
L
|
M
|
N
|
P
|
R
|
S
|
T
|
U
|
V
|
W
B
build_mecab() (in module unipy_nlp)
build_mecab_user_dic() (in module unipy_nlp.tagger)
C
collect_data() (in module unipy_nlp.data_collector)
D
draw() (unipy_nlp.network_plot.WordNetwork method)
,
[1]
drop_by_minimum_length() (unipy_nlp.preprocessing.Preprocessor method)
E
estimate_topics_by_documents() (unipy_nlp.analyze.topic_modeling.TopicModeler method)
,
[1]
F
feature_map() (in module unipy_nlp.network_plot)
G
get_best_n_terms() (unipy_nlp.analyze.topic_modeling.TopicModeler method)
get_network_scored_repr_docs() (unipy_nlp.network_plot.WordNetwork method)
,
[1]
get_ngram() (unipy_nlp.network_plot.WordNetwork method)
,
[1]
get_representitive_candidates() (unipy_nlp.analyze.topic_modeling.TopicModeler method)
get_representitive_documents() (unipy_nlp.analyze.topic_modeling.TopicModeler method)
,
[1]
get_similar() (unipy_nlp.analyze.word2vec.Word2Vec method)
get_topic_mutuality_score_dict() (unipy_nlp.network_plot.WordNetwork method)
,
[1]
L
load_estimated() (unipy_nlp.analyze.topic_modeling.TopicModeler method)
load_from_excel() (in module unipy_nlp.data_collector)
load_lda() (unipy_nlp.analyze.topic_modeling.TopicModeler method)
,
[1]
load_ngram() (unipy_nlp.network_plot.WordNetwork method)
,
[1]
load_representitive_documents() (unipy_nlp.analyze.topic_modeling.TopicModeler method)
load_spm() (unipy_nlp.preprocessing.Preprocessor method)
,
[1]
load_w2v() (unipy_nlp.analyze.word2vec.Word2Vec method)
M
Mecab (class in unipy_nlp.tagger)
morphs() (unipy_nlp.tagger.Mecab method)
N
ngramed_df (unipy_nlp.network_plot.WordNetwork attribute)
ngramed_list (unipy_nlp.network_plot.WordNetwork attribute)
nouns() (unipy_nlp.tagger.Mecab method)
P
pick_best_lda_topics() (unipy_nlp.analyze.topic_modeling.TopicModeler method)
,
[1]
pos() (unipy_nlp.tagger.Mecab method)
pos_tag() (unipy_nlp.preprocessing.Preprocessor method)
,
[1]
Preprocessor (class in unipy_nlp.preprocessing)
pyvis_net (unipy_nlp.network_plot.WordNetwork attribute)
R
read_es() (unipy_nlp.preprocessing.Preprocessor method)
,
[1]
read_json() (unipy_nlp.preprocessing.Preprocessor method)
,
[1]
recursive_substitutor() (in module unipy_nlp.data_collector)
refine_nested_excel_to_dict() (in module unipy_nlp.data_collector)
S
save() (unipy_nlp.network_plot.WordNetwork method)
save_lda() (unipy_nlp.analyze.topic_modeling.TopicModeler method)
,
[1]
save_ngram() (unipy_nlp.network_plot.WordNetwork method)
,
[1]
save_tensorboard() (unipy_nlp.analyze.word2vec.Word2Vec method)
save_w2v() (unipy_nlp.analyze.word2vec.Word2Vec method)
sg_pair_array() (in module unipy_nlp.network_plot)
sg_pair_list() (in module unipy_nlp.network_plot)
skip_gram_pairs() (in module unipy_nlp.network_plot)
source_sentences (unipy_nlp.preprocessing.Preprocessor attribute)
spm_encode() (unipy_nlp.preprocessing.Preprocessor method)
,
[1]
T
token_pair_extractor() (in module unipy_nlp.network_plot)
TopicModeler (class in unipy_nlp.analyze.topic_modeling)
train_lda() (unipy_nlp.analyze.topic_modeling.TopicModeler method)
,
[1]
train_spm() (unipy_nlp.preprocessing.Preprocessor method)
,
[1]
train_w2v() (unipy_nlp.analyze.word2vec.Word2Vec method)
U
unipy_nlp (module)
unipy_nlp.analyze (module)
unipy_nlp.analyze.topic_modeling (module)
unipy_nlp.analyze.word2vec (module)
unipy_nlp.data_collector (module)
unipy_nlp.network_plot (module)
unipy_nlp.preprocessing (module)
unipy_nlp.tagger (module)
unipy_nlp.test (module)
unipy_nlp.test.hunspell_desc (module)
V
visualize_lda_to_html() (unipy_nlp.analyze.topic_modeling.TopicModeler method)
,
[1]
W
Word2Vec (class in unipy_nlp.analyze.word2vec)
WordNetwork (class in unipy_nlp.network_plot)
Read the Docs
v: latest
Versions
latest
Downloads
pdf
html
epub
On Read the Docs
Project Home
Builds
Free document hosting provided by
Read the Docs
.