ontologik.ai
Amazon Comprehend
TensorFlow
Amazon SageMaker
Infosys Nia
FuzzyWuzzy
Google CLOUD AUTOML
Google Cloud Natural Language API
spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
NLTK
OpenNLP
monkeylearn
ONTOLOGIK is developing a natural language understanding engine that can read text and automatically construct/feed a Knowledge Graph and can subsequently engage in dialogues answering questions against this knowledge repository. To this end, ONTOLOGIK has developed an NLP engine that provides through an API all downstream NLP tasks such as Summarization, Extraction of Key Topics, Semantic Search, Sentiment Analysis, Automatic tagging (user-defined), Categorization, Event and Topic-Based Filtering, Entity and Type Recognition
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Based on our record, spaCy seems to be more popular. It has been mentiond 58 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.
Hi Community, In this article, I will demonstrate below steps to create your own chatbot by using spaCy (spaCy is an open-source software library for advanced natural language processing, written in the programming languages Python and Cython):. - Source: dev.to / about 1 month ago
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 5 months ago
In this article, I'm going to walk through a sentiment analysis project from start to finish, using open-source Amazon product reviews. However, using the same approach, you can easily implement mass sentiment analysis on your own products. We'll explore an approach to sentiment analysis with one of the most popular Python NLP packages: spaCy. - Source: dev.to / 6 months ago
Spacy [0] is a state-of-art / easy-to-use NLP library from the pre-LLM era. This post is the Spacy founder's thoughts on how to integrate LLMs with the kind of problems that "traditional" NLP is used for right now. It's an advertisement for Prodigy [1], their paid tool for using LLMs to assist data labeling. That said, I think I largely agree with the premise, and it's worth reading the entire post. The steps... - Source: Hacker News / 8 months ago
I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 10 months ago
Amazon Comprehend - Discover insights and relationships in text
TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.
Google Cloud Natural Language API - Natural language API using Google machine learning
Amazon SageMaker - Amazon SageMaker provides every developer and data scientist with the ability to build, train, and deploy machine learning models quickly.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
Infosys Nia - Infosys Nia is an integrated enterprise AI platform that helps organizations redefine their AI journey and solve complex business problems. Nia's capabilities include Data Management, NLP, Cognitive Search, Conversational AI & many more.