pskliff/vtb-data-fusion
This repository provides code solution for Data Fusion Contest task 1
This solution helps retailers and data analysts automatically categorize items listed on sales receipts. By taking raw item names from receipts, it accurately assigns them to predefined categories, making it easier to analyze sales data and manage inventory. This is ideal for anyone needing to process and understand high volumes of transactional data quickly.
No commits in the last 6 months.
Use this if you need to automatically sort and categorize product names from a large number of sales receipts into predefined categories.
Not ideal if your items are not text-based or if you need to classify items based on information beyond their name.
Stars
8
Forks
1
Language
Jupyter Notebook
License
—
Category
Last pushed
Mar 31, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/pskliff/vtb-data-fusion"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
GaoQ1/rasa_nlu_gq
turn natural language into structured data(支持中文,自定义了N种模型,支持不同的场景和任务)
yongzhuo/nlp_xiaojiang
自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Sentence Similarity),XLNET句向量-相似度(text xlnet...
textgain/grasp
Essential NLP & ML, short & fast pure Python code
boat-group/fancy-nlp
NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your...
changwookjun/nlp-paper
NLP Paper