Ekstraksi “Signature Keywords” pada Review Game Steam Menggunakan PySpark & TF-IDF (Tanpa Kamus…

📰 Medium · Python

Extract signature keywords from Steam game reviews using PySpark and TF-IDF to analyze text data and identify key topics

intermediate Published 30 Apr 2026

Action Steps

Install PySpark and import necessary libraries
Load Steam game review data into a PySpark dataframe
Preprocess text data by tokenizing and removing stop words
Apply TF-IDF to extract signature keywords
Visualize and analyze the extracted keywords to identify key topics

Who Needs to Know This

Data scientists and NLP engineers can benefit from this technique to extract insights from large amounts of text data, such as game reviews, to inform product development or marketing strategies

Key Insight

💡 TF-IDF can be used to extract signature keywords from large amounts of text data, such as game reviews, to identify key topics and inform product development or marketing strategies