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Refine preprocessing, add LDA
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bali_ner.json
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bali_ner.json
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[
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"ubud",
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"kuta",
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"seminyak",
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"canggu",
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"sanur",
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"denpasar",
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"jimbaran",
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"lovina",
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"amed",
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"sidemen",
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"uluwatu",
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"nusa",
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"legian",
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"tabanan",
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"bedugul",
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"pemuteran",
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"tanah",
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"besakih",
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"goa",
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"tirta",
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"tegallalang",
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"lempuyang",
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"agung",
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"batur",
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"bratan",
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"sekumpul",
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"munduk",
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"batubulan",
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"celuk",
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"tegenungan",
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"gitgit",
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"singaraja",
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"padang",
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"kerobokan",
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"penida",
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"lembongan",
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"ceningan",
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"garuda",
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"ulun",
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"bajra",
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"kintamani",
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"taman",
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"saraswati",
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"pandawa",
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"melasti",
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"dreamland",
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"balangan",
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"bingin",
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"suluban",
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"menjangan",
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"jatiluwih"
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]
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bertopic.ipynb
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bertopic.ipynb
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bertopic/visualization.html
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bertopic/visualization.html
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lda_output/lda_corpus.pkl
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lda_output/lda_dictionary.gensim
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lda_output/lda_model.gensim
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lda_output/lda_model.gensim.expElogbeta.npy
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lda_output/lda_vis_3_topics.html
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lda_output/topic_to_reviews.json
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lda_output/topics.txt
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lda_output/topics.txt
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(0, '0.191*"temple" + 0.102*"view" + 0.079*"sunset" + 0.061*"cliff" + 0.041*"uluwatu" + 0.031*"dance" + 0.030*"kecak_dance" + 0.027*"tourist" + 0.015*"hour" + 0.013*"sun"')
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(1, '0.052*"sea" + 0.041*"ocean" + 0.038*"guide" + 0.036*"bit" + 0.033*"water" + 0.031*"location" + 0.027*"beach" + 0.025*"wave" + 0.021*"day" + 0.014*"rock"')
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(2, '0.174*"monkey" + 0.046*"time" + 0.030*"people" + 0.028*"lot" + 0.026*"visit" + 0.022*"glass" + 0.016*"sunglass" + 0.016*"photo" + 0.015*"trip" + 0.014*"day"')
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processed_texts.pkl
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stopwords-en.json
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stopwords-en.json
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