WARNING: VERY OLD CODE
This code was written in January of 2021. I have learned a lot since then and I am aware of the poor quality of the code.
Comparative analysis of the performance of SVC, linear regression and artificial neural network classifiers in recognizing premise-conclusion pairs and random pairs of sentences based on semantic similarity
Analysis of performance of SVC, linear regression and neural network classifiers in recognizing premise-conclusion pairs of sentences based on semantic similarity. All classifiers achieved accuracy of 79%+/-0.5%. Performance of the classifiers was limited by uni-dimensionality of the data.
- Python
- Numpy
- Pandas
- Scikit-learn
- Tensorflow
- Keras
- Matplotlib
This is an old project of mine and it would certainly benefit from cleaning the code and a general refactoring.
MIT
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent