doc1 = "My favoruite TV series are Spartacus and Breaking Bad"
doc2 = "My name is John Constantine and I am 27 years old."
doc3 = "I am working as a Machine Learning Engineer."
doc4 = "I love pokemons. Tyranitar is my favorite pokemon"
doc5 = "Health experts say that Sugar is not good for your lifestyle."

# compile documents
doc_complete = [doc1, doc2, doc3, doc4, doc5]

# I have done preprocessing in this step(haven't inclueded the full code.
doc_clean = [clean(doc).split() for doc in doc_complete]

I then use gensim to make predicition.
import gensim
from gensim import corpora
dictionary = corpora.Dictionary(doc_clean )
doc_term_matrix = [dictionary.doc2bow(doc) for doc in doc_clean]

Lda = gensim.models.ldamodel.LdaModel

# Running and Trainign LDA model on the document term matrix.
ldamodel = Lda(doc_term_matrix, num_topics=3, id2word = dictionary, passes=50)
print ldamodel.show_topics(num_topics=3)

doc1 a b c
doc2 b c d
doc3 x y z
doc4 l m o
doc5 a c o