| msgi/nlp-journey |
1,563 |
|
0 |
0 |
over 2 years ago |
3 |
April 29, 2020 |
0 |
apache-2.0 |
Python |
| Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0. |
| BUPTLdy/Sentiment-Analysis |
296 |
|
0 |
0 |
about 8 years ago |
0 |
|
13 |
|
Python |
| Chinese Shopping Reviews sentiment analysis |
| 30lm32/ml-projects |
232 |
|
0 |
0 |
over 5 years ago |
0 |
|
|
|
|
| ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python |
| luopeixiang/textclf |
217 |
|
0 |
0 |
almost 3 years ago |
0 |
|
8 |
mit |
Python |
| TextClf ：基于Pytorch/Sklearn的文本分类框架，包括逻辑回归、SVM、TextCNN、TextRNN、TextRCNN、DRNN、DPCNN、Bert等多种模型，通过简单配置即可完成数据处理、模型训练、测试等过程。 |
| sb1992/NETL-Automatic-Topic-Labelling- |
184 |
|
0 |
0 |
almost 3 years ago |
0 |
|
10 |
apache-2.0 |
Python |
| Generating labels for topics automatically using neural embeddings |
| luisdrita/HyperFoods |
56 |
|
0 |
0 |
almost 6 years ago |
0 |
|
|
mit |
HTML |
| It was built a web application as a step forward in building a 3D recommendation system. |
| maowankuiDji/Word2Vec-sentiment |
50 |
|
0 |
0 |
almost 8 years ago |
0 |
|
0 |
|
Python |
| 基于Word2Vec+SVM对电商的评论数据进行情感分析 |
| lijqhs/text-classification-cn |
33 |
|
0 |
0 |
over 5 years ago |
0 |
|
1 |
|
Python |
| 中文文本分类实践，基于搜狗新闻语料库，采用传统机器学习方法以及预训练模型等方法 |
| 30lm32/ml-spam-sms-classification |
23 |
|
0 |
0 |
about 5 years ago |
0 |
|
|
|
Jupyter Notebook |
| Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification |
| hmohebbi/SentimentAnalysis |
21 |
|
0 |
0 |
over 6 years ago |
0 |
|
|
|
Jupyter Notebook |
| (BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset |
