Extracting product objects from text
I am trying to use Named Entity Recognizer to extract product names from a given text.
t
Input text: "Google makes Google fit"
Expected result: Google Fit (product)
Is there any tool already available for this? (I tested the Alchemy API , which has nothing to do with extracting product names)
If there are no such tools, how can I create my own training model for this?
source to share
The Apache OpenNLP library is a set of machine learning tools for natural language text processing.
It supports the most common NLP tasks such as tokenization, sentence segmentation, part-of-speech tags, named object extraction, partitioning, kernel parsing and resolution. These tasks are usually required to create more advanced word processing services. OpenNLP also includes maximum entropy and perceptron based learning.
Some examples: Click here
source to share