topicModelingTickets/config.ini

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[thesaurus]
input = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/deWordNet.xml
pickle_file = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/thesaurus_dict.pkl
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[spellchecking]
input = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/deu_news_2015_1M-sentences.txt
pickle_file = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/words_dict.pkl
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[lemmatization]
input = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/lemmas.txt
pickle_file = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/lemma_dict.pkl
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[nouns]
input1 = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/nomen.txt
input2 = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/nomen2.txt
pickle_file = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/nouns_list.pkl
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[firstnames]
input = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/firstnames.txt
pickle_file = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/firstnames_list.pkl
[de_stopwords]
input1 = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/de_stopwords_1.txt
input2 = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/de_stopwords_2.txt
input3 = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/de_stopwords_3.txt
pickle_file = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/stopwords_list.pkl
[logging]
level = INFO
filename = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/topicModelTickets.log
[de_corpus]
#input = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/M42-Export/Tickets_med.csv
#input = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/M42-Export/Tickets_small.csv
#input = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/M42-Export/Tickets_mini.csv
input = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/M42-Export/de_tickets.csv
path = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/corpi/
raw = de_raw_ticket
pre = de_pre_ticket
[en_corpus]
input = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/M42-Export/en_tickets.csv
path = /home/jannis.grundmann/PycharmProjects/topicModelingTickets/corpi/
raw = en_raw_ticket
pre = en_pre_ticket
[tickets]
content_collumn_name = Description
metaliste = TicketNumber,Subject,CreatedDate,categoryName,Impact,Urgency,BenutzerID,VerantwortlicherID,EigentuemerID,Solution
[preprocessing]
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ents2keep = WORK_OF_ART,ORG,PRODUCT,LOC
custom_words = grüßen,fragen,damen,probleme,herren,dank
#lemmatize = True
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[topic modeling]
ngrams = (1,2)
min_df = 0
max_df = 1.0
no_below = 20
no_above = 0.5
topicModel = lda
top_topic_words = 5
top_document_labels_per_topic = 2