ThuraAung1601/Automatic-Myanmar-News-Classification
Automatic Myanmar News Classification System using Multinomial Naive Bayes
This system helps news analysts, researchers, or media professionals quickly categorize large volumes of Myanmar news articles. It takes raw Myanmar text as input and automatically assigns it to predefined news categories, allowing for efficient organization and content discovery. The primary users are individuals who need to sort and analyze Myanmar news efficiently.
No commits in the last 6 months.
Use this if you need an automated way to classify Myanmar news articles into relevant categories with high accuracy.
Not ideal if you need to classify news in languages other than Myanmar or if you require a system that learns new categories on the fly without retraining.
Stars
10
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
May 21, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/ThuraAung1601/Automatic-Myanmar-News-Classification"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
raghakot/keras-text
Text Classification Library in Keras
shibing624/pytextclassifier
pytextclassifier is a toolkit for text classification....
celtics1863/envtext
中文环境领域文本分析包，纯神经网络架构，支持EnvBert,LSTM,RNN,word2vec等模型，支持自定义模型，下游任务包括分类，回归，多选，情感分析，命名实体识别等，专题包括气候变化文本...
Sshanu/Relation-Classification-using-Bidirectional-LSTM-Tree
TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences...
Langboat/Mengzi
Mengzi Pretrained Models