spaCy
Amazon Comprehend
Google Cloud Natural Language API
FuzzyWuzzy
Microsoft Bing Spell Check API
NLTK
OpenNLP
monkeylearn
Social Animal
uberflip
CoSchedule
Embedly
Rocketium
Storify
Promo.com
VigLink
Social Animal’s database has 120+ million articles with a million more added every day. With Social Animal, you can analyze top performing articles in your niche and get elaborately precise insights and analytical data. Curation is made easy when you have millions of articles to share. You can also monitor your competitors to look at their best content and Facebook strategies. The tool’s “Facebook search” feature lets you analyze millions of Facebook pages and posts for your Facebook marketing strategy. Also, Expand your content reach by finding the best possible influencers for your brand.
Social AnimalBased on our record, spaCy seems to be a lot more popular than Social Animal. While we know about 58 links to spaCy, we've tracked only 4 mentions of Social Animal. 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 / 3 months ago
SpaCy: An open-source library providing tools for advanced NLP tasks like tokenization, entity recognition, and part-of-speech tagging. Source: 6 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 / 8 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 / 9 months ago
I chose spacy. Although it's not state of the art, it's very well established and stable. Source: 11 months ago
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As part of the ebook, the above graph was made with data from a tool called Social Animal. Source: almost 3 years ago
I’d love for you to checkout the Content Research tool Social Animal. Source: almost 3 years ago
Amazon Comprehend - Discover insights and relationships in text
uberflip - Organize and Centralize ALL of your Content in minutes
Google Cloud Natural Language API - Natural language API using Google machine learning
CoSchedule - CoSchedule is the #1 marketing calendar that helps you stay organized and get sh*t done. Plan, produce, publish and promote your content.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
Embedly - Embedly helps publishers and consumers manage embed codes from websites and APIs.