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  1. Stackups
  2. AI
  3. Text & Language Models
  4. NLP Sentiment Analysis
  5. HumanFirst vs Stanza

HumanFirst vs Stanza

OverviewComparisonAlternatives

Overview

Stanza
Stanza
Stacks9
Followers34
Votes0
GitHub Stars7.6K
Forks926
HumanFirst
HumanFirst
Stacks5
Followers13
Votes0

Stanza vs HumanFirst: What are the differences?

Stanza: A Python NLP Library for Many Human Languages. It is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism; HumanFirst: The Hub for Conversational AI Data. Reduce development cost and complexity, and increase developer happiness, with the most powerful companion to any conversational AI project.

Stanza and HumanFirst belong to "NLP / Sentiment Analysis" category of the tech stack.

Some of the features offered by Stanza are:

  • Native Python implementation requiring minimal efforts to set up
  • Full neural network pipeline for robust text analytics, including tokenization, multi-word token (MWT) expansion, lemmatization, part-of-speech (POS) and morphological features tagging, dependency parsing, and named entity recognition
  • Pretrained neural models supporting 66 (human) languages

On the other hand, HumanFirst provides the following key features:

  • Refactoring of training phrases
  • Continuous optimization of intents
  • Merging intents

Stanza is an open source tool with 4.41K GitHub stars and 562 GitHub forks. Here's a link to Stanza's open source repository on GitHub.

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Detailed Comparison

Stanza
Stanza
HumanFirst
HumanFirst

It is a Python natural language analysis package. It contains tools, which can be used in a pipeline, to convert a string containing human language text into lists of sentences and words, to generate base forms of those words, their parts of speech and morphological features, to give a syntactic structure dependency parse, and to recognize named entities. The toolkit is designed to be parallel among more than 70 languages, using the Universal Dependencies formalism.

Reduce development cost and complexity, and increase developer happiness, with the most powerful companion to any conversational AI project.

Native Python implementation requiring minimal efforts to set up; Full neural network pipeline for robust text analytics, including tokenization, multi-word token (MWT) expansion, lemmatization, part-of-speech (POS) and morphological features tagging, dependency parsing, and named entity recognition; Pretrained neural models supporting 66 (human) languages; A stable, officially maintained Python interface to CoreNLP
Refactoring of training phrases; Continuous optimization of intents; Merging intents; Processing conversation logs in real time; Data labeling; Machine learning assisted workflows; Intent discovery and training
Statistics
GitHub Stars
7.6K
GitHub Stars
-
GitHub Forks
926
GitHub Forks
-
Stacks
9
Stacks
5
Followers
34
Followers
13
Votes
0
Votes
0
Integrations
Python
Python
PyTorch
PyTorch
AWS Chatbot
AWS Chatbot
rasa NLU
rasa NLU
Dialogflow
Dialogflow
IBM Watson
IBM Watson
Wit.ai
Wit.ai

What are some alternatives to Stanza, HumanFirst?

Olark

Olark

Olark is a lightweight tool to chat with visitors to your website using your existing instant messaging client. Visitors to your website appear as buddies on your Buddy list, their messages to you appear as IMs.

Zopim

Zopim

Zopim is focused on serving the needs of web users that hasn’t been met by other chat solutions: the need for usability, convenience and simplicity of design

tawk.to

tawk.to

It is a live chat support & messaging application that focuses on successful communication between businesses and their customers.

rasa NLU

rasa NLU

rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.

Crisp

Crisp

Chat with website visitors, integrate your favorite tools, and deliver a great customer experience.

SpaCy

SpaCy

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.

Speechly

Speechly

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

MonkeyLearn

MonkeyLearn

Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.

Chatlio

Chatlio

You don't need yet another chat client. Talk with your customers using your existing Slack service.

Jina

Jina

It is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.

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