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A
add_vectors_to_langmod() (in module enlp.language_models)
B
bow_topic_modelling() (in module enlp.understanding.topics)
C
compute_tfidf() (in module enlp.understanding.distributions)
D
determine_topics() (in module enlp.understanding.topics)
dist_plot() (in module enlp.visualisation.freq_distribution)
dist_plot_detailed() (in module enlp.visualisation.freq_distribution)
E
enlp (module)
,
[1]
,
[2]
,
[3]
,
[4]
F
freq_dist() (in module enlp.understanding.distributions)
G
get_stopwords() (in module enlp.processing.stdtools)
I
important_words_per_corpus() (in module enlp.understanding.distributions)
important_words_per_doc() (in module enlp.understanding.distributions)
K
keyphrase_list() (in module enlp.understanding.keywords)
L
load_vectors() (in module enlp.understanding.vectors)
N
NLPPipeline (class in enlp.pipeline)
nltk_stem_no() (enlp.pipeline.NLPPipeline method)
(in module enlp.processing.stdtools)
P
pos_tag() (enlp.pipeline.NLPPipeline method)
(in module enlp.understanding.linguistic)
print_topic_words() (in module enlp.understanding.topics)
R
retain_spaces() (in module enlp.processing.stdtools)
rm_punctuation() (enlp.pipeline.NLPPipeline method)
(in module enlp.processing.stdtools)
rm_stopwords() (enlp.pipeline.NLPPipeline method)
(in module enlp.processing.stdtools)
S
save_spacy_model() (in module enlp.language_models)
save_vectors() (in module enlp.understanding.vectors)
similar_words() (in module enlp.understanding.vectors)
(in module enlp.visualisation.word_vectors)
spacy_lemmatize() (enlp.pipeline.NLPPipeline method)
(in module enlp.processing.stdtools)
T
tfidf_topic_modelling() (in module enlp.understanding.topics)
tokenise() (enlp.pipeline.NLPPipeline method)
(in module enlp.processing.stdtools)
V
vader_sentiment_strength() (in module enlp.understanding.sentiment)
vector_maths() (in module enlp.understanding.vectors)
W
word_vectors() (in module enlp.understanding.vectors)
wordcloud_plot() (in module enlp.visualisation.freq_distribution)