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Text Mining of Customer Reviews in the Hotel Industry
Conducted a text mining analysis using R Studio to identify the key service attributes that influence customer satisfaction in the hotel industry. I collected and analyzed customer reviews of hotels to understand the aspects of hotel services that customers frequently mention and value.
The analysis involved cleaning and preprocessing the review data, including removing stop words, punctuation, and irrelevant terms, followed by text mining and frequency analysis to identify recurring words and themes. Based on the customer reviews, I identified important service attributes such as cleanliness, room quality, staff behaviour, location, food quality, service, comfort, and value for money.
The project helped translate unstructured customer feedback into meaningful insights, providing an understanding of customer expectations and the service factors that can be prioritized by hotels to improve the overall customer experience.
Tugas data spjk JK dan TP
JK=jenis kelamin
TP=tingkat pendidikan
SPJK
4X2 DAN 2X2
Tugas 3
Nama : Aliefia Novita Putri
NIM : 2507016063
Pertemuan 5
Matriks korelasi dan contoh tabel kontingensi
Analisis Kolerasi Data Bayi
Ulfa Ayudia Putri (2507016057)
Tugas Heatmap Data Bayi
Nama: Sofi Fakidhotul Mutafida
NIM: 2507016014
Kelas: A
Tugas 3_UKURAN GEJALA PUSAT, LETAK, PENCARAN, KEMIRINGAN DAN KERUNCINGAN
Nama : Kholifatussania NIM : 2507016062 Mata kuliah : Komputasi Statistika Dosen Pengampu : Dr. M. Fathurahman, S.Si, M.Si Sumber: Buku Belajar Statistika dengan R