Index
A
|
B
|
C
|
D
|
E
|
F
|
G
|
H
|
I
|
J
|
K
|
L
|
M
|
N
|
O
|
P
|
Q
|
R
|
S
|
T
|
U
|
V
|
W
|
Y
A
accents() (in module textacy.preprocessing.remove)
acronyms() (in module textacy.extract.acros)
acronyms_and_definitions() (in module textacy.extract.acros)
add() (textacy.corpus.Corpus method)
add_doc() (textacy.corpus.Corpus method)
add_docs() (textacy.corpus.Corpus method)
add_record() (textacy.corpus.Corpus method)
add_records() (textacy.corpus.Corpus method)
add_text() (textacy.corpus.Corpus method)
add_texts() (textacy.corpus.Corpus method)
agg_metadata() (textacy.corpus.Corpus method)
antonyms() (textacy.resources.concept_net.ConceptNet property)
apply_idf_weighting() (in module textacy.representations.matrix_utils)
apply_transforms() (textacy.augmentation.augmenter.Augmenter method)
Augmenter (class in textacy.augmentation.augmenter)
AugTok (class in textacy.augmentation.utils)
authors (textacy.datasets.oxford_text_archive.OxfordTextArchive attribute)
automated_readability_index() (in module textacy.text_stats.readability)
(textacy.text_stats.api.TextStats property)
automatic_arabic_readability_index() (in module textacy.text_stats.readability)
(textacy.text_stats.api.TextStats property)
B
bag() (in module textacy.similarity.tokens)
brackets() (in module textacy.preprocessing.remove)
build_cooccurrence_network() (in module textacy.representations.network)
build_doc_term_matrix() (in module textacy.representations.sparse_vec)
build_grp_term_matrix() (in module textacy.representations.sparse_vec)
build_similarity_network() (in module textacy.representations.network)
bullet_points() (in module textacy.preprocessing.normalize)
C
Candidate (class in textacy.extract.keyterms.sgrank)
CapitolWords (class in textacy.datasets.capitol_words)
chambers (textacy.datasets.capitol_words.CapitolWords attribute)
character_ngrams() (in module textacy.similarity.edits)
classes (textacy.lang_id.lang_identifier.LangIdentifier attribute)
clear() (in module textacy.cache)
coerce_content_type() (in module textacy.io.utils)
coleman_liau_index() (in module textacy.text_stats.readability)
(textacy.text_stats.api.TextStats property)
ConceptNet (class in textacy.resources.concept_net)
congresses (textacy.datasets.capitol_words.CapitolWords attribute)
content (textacy.extract.triples.DQTriple attribute)
Corpus (class in textacy.corpus)
cosine() (in module textacy.similarity.tokens)
count (textacy.extract.keyterms.sgrank.Candidate attribute)
cue (textacy.extract.triples.DQTriple attribute)
(textacy.extract.triples.SSSTriple attribute)
currency_symbols() (in module textacy.preprocessing.replace)
D
decision_directions (textacy.datasets.supreme_court.SupremeCourt attribute)
default() (textacy.io.json.ExtendedJSONEncoder method)
delete_chars() (in module textacy.augmentation.transforms)
delete_words() (in module textacy.augmentation.transforms)
DepecheMood (class in textacy.resources.depeche_mood)
deprecated() (in module textacy.utils)
direct_quotations() (in module textacy.extract.triples)
docs (textacy.corpus.Corpus attribute)
download() (textacy.datasets.capitol_words.CapitolWords method)
(textacy.datasets.imdb.IMDB method)
(textacy.datasets.oxford_text_archive.OxfordTextArchive method)
(textacy.datasets.reddit_comments.RedditComments method)
(textacy.datasets.supreme_court.SupremeCourt method)
(textacy.datasets.udhr.UDHR method)
(textacy.datasets.wikimedia.Wikimedia method)
(textacy.lang_id.lang_identifier.LangIdentifier method)
(textacy.resources.concept_net.ConceptNet method)
(textacy.resources.depeche_mood.DepecheMood method)
download_file() (in module textacy.io.utils)
DQTriple (class in textacy.extract.triples)
draw_semantic_network() (in module textacy.viz.network)
draw_termite_plot() (in module textacy.viz.termite)
E
emails() (in module textacy.preprocessing.replace)
emojis() (in module textacy.preprocessing.replace)
entities() (in module textacy.extract.basics)
entity (textacy.extract.triples.SSSTriple attribute)
entropy() (in module textacy.text_stats.basics)
(textacy.text_stats.api.TextStats property)
expand_noun() (in module textacy.extract.triples)
expand_verb() (in module textacy.extract.triples)
ExtendedJSONEncoder (class in textacy.io.json)
F
filepath() (textacy.datasets.capitol_words.CapitolWords property)
(textacy.datasets.supreme_court.SupremeCourt property)
(textacy.datasets.wikimedia.Wikimedia property)
(textacy.resources.concept_net.ConceptNet property)
(textacy.resources.depeche_mood.DepecheMood property)
filepaths() (textacy.datasets.reddit_comments.RedditComments property)
filter_terms_by_df() (in module textacy.representations.matrix_utils)
filter_terms_by_ic() (in module textacy.representations.matrix_utils)
fit() (textacy.representations.vectorizers.GroupVectorizer method)
(textacy.representations.vectorizers.Vectorizer method)
fit_transform() (textacy.representations.vectorizers.GroupVectorizer method)
(textacy.representations.vectorizers.Vectorizer method)
flesch_kincaid_grade_level() (in module textacy.text_stats.readability)
(textacy.text_stats.api.TextStats property)
flesch_reading_ease() (in module textacy.text_stats.readability)
(textacy.text_stats.api.TextStats property)
fragment (textacy.extract.triples.SSSTriple attribute)
full_date_range (textacy.datasets.capitol_words.CapitolWords attribute)
(textacy.datasets.oxford_text_archive.OxfordTextArchive attribute)
(textacy.datasets.reddit_comments.RedditComments attribute)
(textacy.datasets.supreme_court.SupremeCourt attribute)
full_rating_range (textacy.datasets.imdb.IMDB attribute)
G
get() (textacy.corpus.Corpus method)
get_antonyms() (textacy.resources.concept_net.ConceptNet method)
get_char_weights() (in module textacy.augmentation.utils)
get_config() (in module textacy.utils)
get_doc_extensions() (in module textacy.extensions)
get_doc_freqs() (in module textacy.representations.matrix_utils)
get_doc_lengths() (in module textacy.representations.matrix_utils)
get_doc_topic_matrix() (textacy.tm.topic_model.TopicModel method)
get_emotional_valence() (textacy.resources.depeche_mood.DepecheMood method)
get_filename_from_url() (in module textacy.io.utils)
get_filepaths() (in module textacy.io.utils)
get_hyponyms() (textacy.resources.concept_net.ConceptNet method)
get_information_content() (in module textacy.representations.matrix_utils)
get_inverse_doc_freqs() (in module textacy.representations.matrix_utils)
get_kwargs_for_func() (in module textacy.utils)
get_main_verbs_of_sent() (in module textacy.spacier.utils)
get_meronyms() (textacy.resources.concept_net.ConceptNet method)
get_meta() (in module textacy.extensions)
get_normalized_text() (in module textacy.spacier.utils)
get_objects_of_verb() (in module textacy.spacier.utils)
get_preview() (in module textacy.extensions)
get_span_for_compound_noun() (in module textacy.spacier.utils)
get_span_for_verb_auxiliaries() (in module textacy.spacier.utils)
get_subjects_of_verb() (in module textacy.spacier.utils)
get_synonyms() (textacy.resources.concept_net.ConceptNet method)
get_term_freqs() (in module textacy.representations.matrix_utils)
GroupVectorizer (class in textacy.representations.vectorizers)
grps_list() (textacy.representations.vectorizers.GroupVectorizer property)
gulpease_index() (in module textacy.text_stats.readability)
(textacy.text_stats.api.TextStats property)
gunning_fog_index() (in module textacy.text_stats.readability)
(textacy.text_stats.api.TextStats property)
H
hamming() (in module textacy.similarity.edits)
hashtags() (in module textacy.preprocessing.replace)
html_tags() (in module textacy.preprocessing.remove)
hyphenated_words() (in module textacy.preprocessing.normalize)
hyponyms() (textacy.resources.concept_net.ConceptNet property)
I
id_to_grp() (textacy.representations.vectorizers.GroupVectorizer property)
id_to_term() (textacy.representations.vectorizers.Vectorizer property)
identify_lang() (in module textacy.lang_id.lang_identifier)
(textacy.lang_id.lang_identifier.LangIdentifier method)
identify_topn_langs() (in module textacy.lang_id.lang_identifier)
(textacy.lang_id.lang_identifier.LangIdentifier method)
idx (textacy.extract.keyterms.sgrank.Candidate attribute)
IMDB (class in textacy.datasets.imdb)
insert_chars() (in module textacy.augmentation.transforms)
insert_word_synonyms() (in module textacy.augmentation.transforms)
is_acronym() (in module textacy.extract.acros)
is_record() (in module textacy.utils)
is_word (textacy.augmentation.utils.AugTok attribute)
issue_area_codes (textacy.datasets.supreme_court.SupremeCourt attribute)
issue_codes (textacy.datasets.supreme_court.SupremeCourt attribute)
J
jaccard() (in module textacy.similarity.tokens)
jaro() (in module textacy.similarity.edits)
K
keyword_in_context() (in module textacy.extract.kwic)
L
lang (textacy.corpus.Corpus attribute)
LangIdentifier (class in textacy.lang_id.lang_identifier)
langs (textacy.datasets.udhr.UDHR attribute)
length (textacy.extract.keyterms.sgrank.Candidate attribute)
levenshtein() (in module textacy.similarity.edits)
lix() (in module textacy.text_stats.readability)
(textacy.text_stats.api.TextStats property)
load() (textacy.corpus.Corpus class method)
load_hyphenator() (in module textacy.text_stats.api)
load_model() (textacy.lang_id.lang_identifier.LangIdentifier method)
load_spacy_lang() (in module textacy.spacier.core)
LRU_CACHE (in module textacy.cache)
M
make_doc_from_text_chunks() (in module textacy.spacier.utils)
make_pipeline() (in module textacy.preprocessing.pipeline)
make_spacy_doc() (in module textacy.spacier.core)
matching_subsequences_ratio() (in module textacy.similarity.sequences)
merge_spans() (in module textacy.spacier.utils)
meronyms() (textacy.resources.concept_net.ConceptNet property)
meta (textacy.types.Record attribute)
metadata() (textacy.datasets.oxford_text_archive.OxfordTextArchive property)
model (textacy.lang_id.lang_identifier.LangIdentifier attribute)
module
textacy.augmentation.augmenter
textacy.augmentation.transforms
textacy.augmentation.utils
textacy.cache
textacy.corpus
textacy.datasets.capitol_words
textacy.datasets.imdb
textacy.datasets.oxford_text_archive
textacy.datasets.reddit_comments
textacy.datasets.supreme_court
textacy.datasets.udhr
textacy.datasets.wikimedia
textacy.errors
textacy.extensions
textacy.extract.acros
textacy.extract.basics
textacy.extract.keyterms
textacy.extract.keyterms.scake
textacy.extract.keyterms.sgrank
textacy.extract.keyterms.textrank
textacy.extract.keyterms.yake
textacy.extract.kwic
textacy.extract.matches
textacy.extract.triples
textacy.io.csv
textacy.io.http
textacy.io.json
textacy.io.matrix
textacy.io.spacy
textacy.io.text
textacy.io.utils
textacy.lang_id.lang_identifier
textacy.preprocessing.normalize
textacy.preprocessing.pipeline
textacy.preprocessing.remove
textacy.preprocessing.replace
textacy.representations.matrix_utils
textacy.representations.network
textacy.representations.sparse_vec
textacy.representations.vectorizers
textacy.resources.concept_net
textacy.resources.depeche_mood
textacy.similarity.edits
textacy.similarity.hybrid
textacy.similarity.sequences
textacy.similarity.tokens
textacy.spacier.core
textacy.spacier.utils
textacy.text_stats.api
textacy.text_stats.basics
textacy.text_stats.components
textacy.text_stats.readability
textacy.tm.topic_model
textacy.types
textacy.utils
textacy.viz.network
textacy.viz.termite
monge_elkan() (in module textacy.similarity.hybrid)
mu_legibility_index() (in module textacy.text_stats.readability)
(textacy.text_stats.api.TextStats property)
N
n_chars() (in module textacy.text_stats.basics)
(textacy.text_stats.api.TextStats property)
n_chars_per_word() (in module textacy.text_stats.basics)
(textacy.text_stats.api.TextStats property)
n_docs (textacy.corpus.Corpus attribute)
n_long_words() (in module textacy.text_stats.basics)
(textacy.text_stats.api.TextStats property)
n_monosyllable_words() (in module textacy.text_stats.basics)
(textacy.text_stats.api.TextStats property)
n_polysyllable_words() (in module textacy.text_stats.basics)
(textacy.text_stats.api.TextStats property)
n_sents (textacy.corpus.Corpus attribute)
n_sents() (in module textacy.text_stats.basics)
(textacy.text_stats.api.TextStats property)
n_syllables() (in module textacy.text_stats.basics)
(textacy.text_stats.api.TextStats property)
n_syllables_per_word() (in module textacy.text_stats.basics)
(textacy.text_stats.api.TextStats property)
n_tokens (textacy.corpus.Corpus attribute)
n_unique_words() (in module textacy.text_stats.basics)
(textacy.text_stats.api.TextStats property)
n_words() (in module textacy.text_stats.basics)
(textacy.text_stats.api.TextStats property)
ngrams() (in module textacy.extract.basics)
noun_chunks() (in module textacy.extract.basics)
numbers() (in module textacy.preprocessing.replace)
O
object (textacy.extract.triples.SVOTriple attribute)
open_sesame() (in module textacy.io.utils)
opinion_author_codes (textacy.datasets.supreme_court.SupremeCourt attribute)
OxfordTextArchive (class in textacy.datasets.oxford_text_archive)
P
perspicuity_index() (in module textacy.text_stats.readability)
(textacy.text_stats.api.TextStats property)
phone_numbers() (in module textacy.preprocessing.replace)
pos (textacy.augmentation.utils.AugTok attribute)
preserve_case() (in module textacy.spacier.utils)
print_markdown() (in module textacy.utils)
punctuation() (in module textacy.preprocessing.remove)
Q
quotation_marks() (in module textacy.preprocessing.normalize)
R
rank_nodes_by_bestcoverage() (in module textacy.representations.network)
rank_nodes_by_divrank() (in module textacy.representations.network)
rank_nodes_by_pagerank() (in module textacy.representations.network)
read_csv() (in module textacy.io.csv)
read_http_stream() (in module textacy.io.http)
read_json() (in module textacy.io.json)
read_json_mash() (in module textacy.io.json)
read_spacy_docs() (in module textacy.io.spacy)
read_sparse_matrix() (in module textacy.io.matrix)
read_text() (in module textacy.io.text)
Record (class in textacy.types)
records() (textacy.datasets.capitol_words.CapitolWords method)
(textacy.datasets.imdb.IMDB method)
(textacy.datasets.oxford_text_archive.OxfordTextArchive method)
(textacy.datasets.reddit_comments.RedditComments method)
(textacy.datasets.supreme_court.SupremeCourt method)
(textacy.datasets.udhr.UDHR method)
(textacy.datasets.wikimedia.Wikimedia method)
RedditComments (class in textacy.datasets.reddit_comments)
regex_matches() (in module textacy.extract.matches)
remove() (textacy.corpus.Corpus method)
remove_doc_extensions() (in module textacy.extensions)
repeating_chars() (in module textacy.preprocessing.normalize)
S
save() (textacy.corpus.Corpus method)
save_model() (textacy.lang_id.lang_identifier.LangIdentifier method)
scake() (in module textacy.extract.keyterms.scake)
semistructured_statements() (in module textacy.extract.triples)
set_doc_extensions() (in module textacy.extensions)
set_meta() (in module textacy.extensions)
sgrank() (in module textacy.extract.keyterms.sgrank)
smog_index() (in module textacy.text_stats.readability)
(textacy.text_stats.api.TextStats property)
sorensen_dice() (in module textacy.similarity.tokens)
spacy_lang (textacy.corpus.Corpus attribute)
speaker (textacy.extract.triples.DQTriple attribute)
speaker_names (textacy.datasets.capitol_words.CapitolWords attribute)
speaker_parties (textacy.datasets.capitol_words.CapitolWords attribute)
split_records() (in module textacy.io.utils)
SSSTriple (class in textacy.extract.triples)
subject (textacy.extract.triples.SVOTriple attribute)
subject_verb_object_triples() (in module textacy.extract.triples)
substitute_chars() (in module textacy.augmentation.transforms)
substitute_word_synonyms() (in module textacy.augmentation.transforms)
SupremeCourt (class in textacy.datasets.supreme_court)
SVOTriple (class in textacy.extract.triples)
swap_chars() (in module textacy.augmentation.transforms)
swap_words() (in module textacy.augmentation.transforms)
synonyms() (textacy.resources.concept_net.ConceptNet property)
syns (textacy.augmentation.utils.AugTok attribute)
T
termite_df_plot() (in module textacy.viz.termite)
termite_plot() (textacy.tm.topic_model.TopicModel method)
terms() (in module textacy.extract.basics)
terms_list() (textacy.representations.vectorizers.Vectorizer property)
text (textacy.augmentation.utils.AugTok attribute)
(textacy.extract.keyterms.sgrank.Candidate attribute)
(textacy.types.Record attribute)
text_to_char_ngrams() (in module textacy.utils)
textacy.augmentation.augmenter
module
textacy.augmentation.transforms
module
textacy.augmentation.utils
module
textacy.cache
module
textacy.corpus
module
textacy.datasets.capitol_words
module
textacy.datasets.imdb
module
textacy.datasets.oxford_text_archive
module
textacy.datasets.reddit_comments
module
textacy.datasets.supreme_court
module
textacy.datasets.udhr
module
textacy.datasets.wikimedia
module
textacy.errors
module
textacy.extensions
module
textacy.extract.acros
module
textacy.extract.basics
module
textacy.extract.keyterms
module
textacy.extract.keyterms.scake
module
textacy.extract.keyterms.sgrank
module
textacy.extract.keyterms.textrank
module
textacy.extract.keyterms.yake
module
textacy.extract.kwic
module
textacy.extract.matches
module
textacy.extract.triples
module
textacy.io.csv
module
textacy.io.http
module
textacy.io.json
module
textacy.io.matrix
module
textacy.io.spacy
module
textacy.io.text
module
textacy.io.utils
module
textacy.lang_id.lang_identifier
module
textacy.preprocessing.normalize
module
textacy.preprocessing.pipeline
module
textacy.preprocessing.remove
module
textacy.preprocessing.replace
module
textacy.representations.matrix_utils
module
textacy.representations.network
module
textacy.representations.sparse_vec
module
textacy.representations.vectorizers
module
textacy.resources.concept_net
module
textacy.resources.depeche_mood
module
textacy.similarity.edits
module
textacy.similarity.hybrid
module
textacy.similarity.sequences
module
textacy.similarity.tokens
module
textacy.spacier.core
module
textacy.spacier.utils
module
textacy.text_stats.api
module
textacy.text_stats.basics
module
textacy.text_stats.components
module
textacy.text_stats.readability
module
textacy.tm.topic_model
module
textacy.types
module
textacy.utils
module
textacy.viz.network
module
textacy.viz.termite
module
textrank() (in module textacy.extract.keyterms.textrank)
texts() (textacy.datasets.capitol_words.CapitolWords method)
(textacy.datasets.imdb.IMDB method)
(textacy.datasets.oxford_text_archive.OxfordTextArchive method)
(textacy.datasets.reddit_comments.RedditComments method)
(textacy.datasets.supreme_court.SupremeCourt method)
(textacy.datasets.udhr.UDHR method)
(textacy.datasets.wikimedia.Wikimedia method)
TextStats (class in textacy.text_stats.api)
TextStatsComponent (class in textacy.text_stats.components)
to_aug_toks() (in module textacy.augmentation.utils)
to_bag_of_terms() (in module textacy.extensions)
to_bag_of_words() (in module textacy.extensions)
to_bytes() (in module textacy.utils)
to_collection() (in module textacy.utils)
to_path() (in module textacy.utils)
to_tokenized_text() (in module textacy.extensions)
to_unicode() (in module textacy.utils)
token_matches() (in module textacy.extract.matches)
token_sort_ratio() (in module textacy.similarity.hybrid)
top_doc_topics() (textacy.tm.topic_model.TopicModel method)
top_topic_docs() (textacy.tm.topic_model.TopicModel method)
top_topic_terms() (textacy.tm.topic_model.TopicModel method)
topic_weights() (textacy.tm.topic_model.TopicModel method)
TopicModel (class in textacy.tm.topic_model)
transform() (textacy.representations.vectorizers.GroupVectorizer method)
(textacy.representations.vectorizers.Vectorizer method)
tversky() (in module textacy.similarity.tokens)
U
UDHR (class in textacy.datasets.udhr)
unicode() (in module textacy.preprocessing.normalize)
unpack_archive() (in module textacy.io.utils)
unzip() (in module textacy.io.utils)
urls() (in module textacy.preprocessing.replace)
user_handles() (in module textacy.preprocessing.replace)
V
validate_and_clip_range() (in module textacy.utils)
validate_set_members() (in module textacy.utils)
vector_norms() (textacy.corpus.Corpus property)
Vectorizer (class in textacy.representations.vectorizers)
vectors() (textacy.corpus.Corpus property)
verb (textacy.extract.triples.SVOTriple attribute)
vocabulary_grps (textacy.representations.vectorizers.GroupVectorizer attribute)
vocabulary_terms (textacy.representations.vectorizers.GroupVectorizer attribute)
(textacy.representations.vectorizers.Vectorizer attribute)
W
weighting() (textacy.representations.vectorizers.Vectorizer property)
weights() (textacy.resources.depeche_mood.DepecheMood property)
whitespace() (in module textacy.preprocessing.normalize)
wiener_sachtextformel() (in module textacy.text_stats.readability)
(textacy.text_stats.api.TextStats property)
Wikimedia (class in textacy.datasets.wikimedia)
Wikinews (class in textacy.datasets.wikimedia)
Wikipedia (class in textacy.datasets.wikimedia)
word_counts() (textacy.corpus.Corpus method)
word_doc_counts() (textacy.corpus.Corpus method)
words() (in module textacy.extract.basics)
write_csv() (in module textacy.io.csv)
write_http_stream() (in module textacy.io.http)
write_json() (in module textacy.io.json)
write_spacy_docs() (in module textacy.io.spacy)
write_sparse_matrix() (in module textacy.io.matrix)
write_text() (in module textacy.io.text)
ws (textacy.augmentation.utils.AugTok attribute)
Y
yake() (in module textacy.extract.keyterms.yake)
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