Our customizable Text Analytics solutions helps in transforming unstructured text data into structured or useful data by leveraging text analytics using python, sentiment analysis and NLP expertise. It’s a SaaS based solution helps solve challenges faced by Banking, Retail, Ecommerce, Manufacturing, Education, Hospitals (healthcare) and Lifesciences companies alike in Text Extraction, Text Summarization and Text Classification.
Based on our record, Apache OpenNLP seems to be more popular. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
If your looking at spacy have a look at Apache OpenNLP and Core NLP. Source: over 1 year ago
If you want to deeper, you may want to check out something like spaCy (.NET) (or OpenNLP or LUIS or ... Many more ...) to do the heavy lifting of semantic normalization, and then go from there. Source: over 2 years ago
If you need NER, there’s no need to implement it yourself. There are several popular libraries that can do this for you nowadays. Five of these libraries, Stanford CoreNLP, NLTK, OpenNLP, SpaCy, and GATE, were already mentioned in the title. - Source: dev.to / over 2 years ago
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
Rosette - Rosette text analytics is a robust toolkit for processing language, documents, and names.
Amazon Comprehend - Discover insights and relationships in text
Google Cloud Natural Language API - Natural language API using Google machine learning
Lexalytics Semantria - A text and sentiment analysis API to easily integrate with all your applications and turn unstructured text into actionable data.
RapidMiner - RapidMiner is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.