masouduut94/Digikala_comments_verification
Digikala online market has recently published some open source data in various categories. Since I always wanted to do some NLP project, so I thought of some useful tutorials in python for newcomers. I really hope this could be useful for you guys. I still keep updating the package and also will share the link of video and article related to this post soon!
This project provides practical Python tutorials for those new to Natural Language Processing (NLP). It helps you process raw customer comments from the Digikala online market dataset, clean them, and prepare them for analysis. You'll get step-by-step guidance on transforming these comments into structured data that can be used for text-based machine learning projects. This is ideal for aspiring data scientists, students, or anyone looking to learn NLP basics using real-world e-commerce data.
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Use this if you are a beginner looking for hands-on tutorials to learn text preprocessing, TF-IDF, Word2Vec, and basic sentiment analysis using Python and real customer review data.
Not ideal if you are an experienced NLP practitioner seeking advanced model architectures, cutting-edge research implementations, or a production-ready solution.
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Last pushed
Jan 17, 2020
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