Top 10 Stanford CoreNLP Alternatives & Competitors

Top 10 Alternatives to Stanford CoreNLP Recently Reviewed By G2 Community

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#1

openNLP
By The Apache Software Foundation
(11)4.0 out of 5
Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text that supports the common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity extraction, chunking, parsing, and coreference resolution these tasks are usually required to build more advanced text processing services and includes maximum entropy and perceptron based machine learning.
Categories in common with Stanford CoreNLP:
• Natural Language Understanding (NLU)
Reviewers say compared to Stanford CoreNLP, openNLP is:
Better at support
See all openNLP reviews
#2

NLTK
By NLTK Project
(48)4.4 out of 5
NLTK is a platform for building Python programs to work with human language data that provides interfaces to corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming, tagging, parsing, and semantic reasoning, wrappers for industrial-strength NLP libraries, and an active discussion forum.
Categories in common with Stanford CoreNLP:
• Natural Language Understanding (NLU)
Reviewers say compared to Stanford CoreNLP, NLTK is:
Better at support
Easier to admin
Easier to set up
See all NLTK reviews
#3

Google Cloud Translation API
By Google
(333)4.4 out of 5
Google Cloud Translation API helps developers get translations for 100+ languages or build on top of Google's powerful pre-trained model with the words, phrases, and idioms that matter most to you and your business. Google Cloud's proven models and tools bring Google’s translation expertise and industry-leading accuracy right to your fingertips with no machine learning background needed to unlock the power of machine translation.
Categories in common with Stanford CoreNLP:
• Natural Language Understanding (NLU)
Reviewers say compared to Stanford CoreNLP, Google Cloud Translation API is:
Better at support
More usable
Easier to admin
See all Google Cloud Translation API reviews
#4

InMoment Experience Improvement (XI) Platform
By InMoment
(319)4.7 out of 5
InMoment is a cloud-based customer experience (CX) optimization platform that gives you the ability to listen to and engage with your customers to improve business results through better experiences.
Categories in common with Stanford CoreNLP:
• Natural Language Understanding (NLU)
Reviewers say compared to Stanford CoreNLP, InMoment Experience Improvement (XI) Platform is:
Better at support
Easier to admin
More usable
See all InMoment Experience Improvement (XI) Platform reviews
#5

Amazon Comprehend
By Amazon Web Services (AWS)
(71)4.2 out of 5
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to find insights and relationships in text. Amazon Comprehend identifies the language of the text; extracts key phrases, places, people, brands, or events; understands how positive or negative the text is; and automatically organizes a collection of text files by topic.
Categories in common with Stanford CoreNLP:
• Natural Language Understanding (NLU)
Reviewers say compared to Stanford CoreNLP, Amazon Comprehend is:
Better at support
More usable
Easier to admin
See all Amazon Comprehend reviews
#6

Google Cloud Natural Language API
By Google
(112)4.3 out of 5
Google Cloud’s Natural Language API helps developers unlock natural language understanding features including sentiment analysis, entity analysis, entity sentiment analysis, content classification, & syntax analysis. We incorporate the best of Google’s technology and research into our API, including the latest advancements in Large Language Models to help developers and practitioners get better insights, better ad targeting, & better recommendations for their users. Through our Natural Language API, developers can access a top-of-the-line content classification model with over 1000 categories that is both scalable across content types and languages and trained on the distilled knowledge of the world wide web.
Categories in common with Stanford CoreNLP:
• Natural Language Understanding (NLU)
Reviewers say compared to Stanford CoreNLP, Google Cloud Natural Language API is:
Slower to reach roi
Better at support
Easier to admin
See all Google Cloud Natural Language API reviews
#7

Level AI
By Level AI
(185)4.6 out of 5
Blending Human And Machine Intelligence To Transform Your Customer Experience.
Categories in common with Stanford CoreNLP:
• Natural Language Understanding (NLU)
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Reviewers say compared to Stanford CoreNLP, Level AI is:
Better at support
Easier to admin
More usable
See all Level AI reviews
#8

GlobalLink
By TransPerfect
(169)4.5 out of 5
GlobalLink enables organizations to streamline the localization process for all business needs.
Categories in common with Stanford CoreNLP:
• Natural Language Understanding (NLU)
Get a quote
Reviewers say compared to Stanford CoreNLP, GlobalLink is:
Better at support
Easier to admin
More usable
See all GlobalLink reviews
#9

Meta Llama 3
By Meta Platforms, Inc
(147)4.3 out of 5
Experience the state-of-the-art performance of Llama 3, an openly accessible model that excels at language nuances, contextual understanding, and complex tasks like translation and dialogue generation. With enhanced scalability and performance, Llama 3 can handle multi-step tasks effortlessly, while our refined post-training processes significantly lower false refusal rates, improve response alignment, and boost diversity in model answers. Additionally, it drastically elevates capabilities like reasoning, code generation, and instruction following. Build the future of AI with Llama 3.
Categories in common with Stanford CoreNLP:
• Natural Language Understanding (NLU)
Reviewers say compared to Stanford CoreNLP, Meta Llama 3 is:
Better at support
See all Meta Llama 3 reviews
#10

Azure AI Language
By Microsoft
(77)4.3 out of 5
Azure AI Language is a managed service for developing natural language processing applications. Identify key terms and phrases, analyze sentiment, summarize text, and build conversational interfaces. Use Language to annotate, train, evaluate, and deploy customizable AI models with minimal machine-learning expertise.
Categories in common with Stanford CoreNLP:
• Natural Language Understanding (NLU)
Reviewers say compared to Stanford CoreNLP, Azure AI Language is:
Better at support
More usable
Easier to admin
See all Azure AI Language reviews

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