how to display topic words using sklearn api in gensim
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I am trying to perform LDATransformer using gensim api and then I want to get the topic words only using following code:
from gensim.sklearn_api.ldamodel import LdaTransformer
print("Loading docs for lda input...")
docs = get_lda_input_from_corpus_folder(CORPUS_PATH)
print("Topic modeling using LdaTransformer..")
dictionary = Dictionary(docs)
corpus = [dictionary.doc2bow(text) for text in docs]
model = LdaTransformer(id2word=dictionary, num_topics=n_topics,iterations=lda_n_iter,random_state=n_random)
model.fit(corpus)
print("nTopical words:")
print("-" * 20)
topic_word = model.topic_word_
n_top_words = 8
for i, topic_dist in enumerate(topic_word):
topic_words = np.argsort(topic_dist)[:-(n_top_words+1):-1]
print('Topic : '.format(i, ' '.join(topic_words)))
but when I print these topic words i have received an error as:
AttributeError: 'LdaTransformer' object has no attribute 'topic_word_'
any other method which I can use to extract words from this model?
python-3.x scikit-learn gensim lda
asked Nov 15 '18 at 13:50
ameeraameera
113
add a comment |
0
I am trying to perform LDATransformer using gensim api and then I want to get the topic words only using following code:
from gensim.sklearn_api.ldamodel import LdaTransformer
print("Loading docs for lda input...")
docs = get_lda_input_from_corpus_folder(CORPUS_PATH)
print("Topic modeling using LdaTransformer..")
dictionary = Dictionary(docs)
corpus = [dictionary.doc2bow(text) for text in docs]
model = LdaTransformer(id2word=dictionary, num_topics=n_topics,iterations=lda_n_iter,random_state=n_random)
model.fit(corpus)
print("nTopical words:")
print("-" * 20)
topic_word = model.topic_word_
n_top_words = 8
for i, topic_dist in enumerate(topic_word):
topic_words = np.argsort(topic_dist)[:-(n_top_words+1):-1]
print('Topic : '.format(i, ' '.join(topic_words)))
but when I print these topic words i have received an error as:
AttributeError: 'LdaTransformer' object has no attribute 'topic_word_'
any other method which I can use to extract words from this model?
python-3.x scikit-learn gensim lda
asked Nov 15 '18 at 13:50
ameeraameera
113
add a comment |
0
0
0
I am trying to perform LDATransformer using gensim api and then I want to get the topic words only using following code:
from gensim.sklearn_api.ldamodel import LdaTransformer
print("Loading docs for lda input...")
docs = get_lda_input_from_corpus_folder(CORPUS_PATH)
print("Topic modeling using LdaTransformer..")
dictionary = Dictionary(docs)
corpus = [dictionary.doc2bow(text) for text in docs]
model = LdaTransformer(id2word=dictionary, num_topics=n_topics,iterations=lda_n_iter,random_state=n_random)
model.fit(corpus)
print("nTopical words:")
print("-" * 20)
topic_word = model.topic_word_
n_top_words = 8
for i, topic_dist in enumerate(topic_word):
topic_words = np.argsort(topic_dist)[:-(n_top_words+1):-1]
print('Topic : '.format(i, ' '.join(topic_words)))
but when I print these topic words i have received an error as:
AttributeError: 'LdaTransformer' object has no attribute 'topic_word_'
any other method which I can use to extract words from this model?
python-3.x scikit-learn gensim lda
asked Nov 15 '18 at 13:50
ameeraameera
113
I am trying to perform LDATransformer using gensim api and then I want to get the topic words only using following code:
from gensim.sklearn_api.ldamodel import LdaTransformer
print("Loading docs for lda input...")
docs = get_lda_input_from_corpus_folder(CORPUS_PATH)
print("Topic modeling using LdaTransformer..")
dictionary = Dictionary(docs)
corpus = [dictionary.doc2bow(text) for text in docs]
model = LdaTransformer(id2word=dictionary, num_topics=n_topics,iterations=lda_n_iter,random_state=n_random)
model.fit(corpus)
print("nTopical words:")
print("-" * 20)
topic_word = model.topic_word_
n_top_words = 8
for i, topic_dist in enumerate(topic_word):
topic_words = np.argsort(topic_dist)[:-(n_top_words+1):-1]
print('Topic : '.format(i, ' '.join(topic_words)))
but when I print these topic words i have received an error as:
AttributeError: 'LdaTransformer' object has no attribute 'topic_word_'
any other method which I can use to extract words from this model?
python-3.x scikit-learn gensim lda
python-3.x scikit-learn gensim lda
asked Nov 15 '18 at 13:50
ameeraameera
113
asked Nov 15 '18 at 13:50
ameeraameera
113
asked Nov 15 '18 at 13:50
ameeraameera
113
asked Nov 15 '18 at 13:50
ameeraameera
113
asked Nov 15 '18 at 13:50
ameeraameera
113
113
add a comment |
add a comment |
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