document classification

Using the Sentence Transformer to I’m trying to use Sentence Transformer to infer causal relationships between documents. If we can do this, we can extract the cause and symptoms of the incident from the report. So, I wondered if NLI could be used for feature learning to extract causal information. I thought. What is NLI? Inference of the relationship between two sentences Forward Inverse Unrelated The three relations are. Apply to causal relationships If we apply the three relationships of NLI to causality, the following patterns are possible. [Read More]

Applying the Document Classification Problem You’ve learned about machine learning, but you don’t know how to use it! Isn’t it? It is easy to overlook this if you don’t pay attention to it when you study it, but if you don’t keep your antennas up, you won’t know how to use it. If you don’t keep your antennae up, you won’t know how to use it. Since a tool is only a tool if it is used, you should make a note of how you use your newly acquired tool. [Read More]

Summary of what I’ve done with Fasttext to the document classification problem. Facebook research has published a document classification library using Fasttext. Fasttext is easy to install in a python environment. Run time is fast. Preliminaries I decided to tackle the task of document classification, and initially thought. NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit. However, it was not [Read More]