Software Alternatives & Reviews

OpenText Analytics VS spaCy

Compare OpenText Analytics VS spaCy and see what are their differences

OpenText Analytics logo OpenText Analytics

OpenText Analytics provides software and services to develop and deploy custom business intelligence and information applications.

spaCy logo spaCy

spaCy is a library for advanced natural language processing in Python and Cython.
  • OpenText Analytics Landing page
    Landing page //
    2023-07-04
  • spaCy Landing page
    Landing page //
    2023-06-26

OpenText Analytics videos

OpenText Analytics Live Demo

spaCy videos

Honda Spacy Helm in PGM-FI Review & Test Ride

More videos:

  • Review - Review Singkat Honda Spacy
  • Review - REVIEW HONDA SPACY 2018/2019

Category Popularity

0-100% (relative to OpenText Analytics and spaCy)
Data Dashboard
100 100%
0% 0
Natural Language Processing
Database Tools
100 100%
0% 0
NLP And Text Analytics
0 0%
100% 100

User comments

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Social recommendations and mentions

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.

OpenText Analytics mentions (0)

We have not tracked any mentions of OpenText Analytics yet. Tracking of OpenText Analytics recommendations started around Mar 2021.

spaCy mentions (58)

  • Step by step guide to create customized chatbot by using spaCy (Python NLP library)
    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
  • Best AI SEO Tools for NLP Content Optimization
    SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 5 months ago
  • A beginner’s guide to sentiment analysis using OceanBase and spaCy
    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
  • Against LLM Maximalism
    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
  • What do you all think about (setq sentence-end-double-space nil)?
    I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 10 months ago
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What are some alternatives?

When comparing OpenText Analytics and spaCy, you can also consider the following products

Looker - Looker makes it easy for analysts to create and curate custom data experiences—so everyone in the business can explore the data that matters to them, in the context that makes it truly meaningful.

Amazon Comprehend - Discover insights and relationships in text

Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Google Cloud Natural Language API - Natural language API using Google machine learning

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.