NLTK
spaCy
Amazon Comprehend
TensorFlow
FuzzyWuzzy
Microsoft Bing Spell Check API
OpenNLP
PyNLPl
Google Cloud Natural Language API
spaCy
Amazon Comprehend
FuzzyWuzzy
Microsoft Bing Spell Check API
monkeylearn
OpenNLP
PyNLPl
NLTK| Categories |
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| Website | nltk.org |
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Google Cloud Natural Language API| Categories |
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| Website | cloud.google.com |
| Details $ | - |
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Based on our record, Google Cloud Natural Language API should be more popular than NLTK. It has been mentiond 13 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.
To give you some further inspiration, you might want to check out the NLTK (Natural Language Toolkit - https://www.nltk.org/ ). It is a huge collection of tools for language data processing in general. Source: 12 months ago
I work mostly in the NLP space, so other libraries I like are spaCy, nltk, and pynlp lib. Source: over 1 year ago
Learn some Python and play around with existing AI libraries. Go through things like nltk.org and some freecodecamp tutorials to get some hands-on knowledge. Follow this sub and watch the kinds of projects people are creating. Source: over 2 years ago
Google Cloud Natural Language API: Google's NLP API offers one of the best AI platforms for sentiment analysis, entity recognition, and syntax analysis to understand and extract information from text. Source: 4 months ago
Voice search is another area where AI is reshaping SEO services. As more people use voice-activated devices, the way they search for information online is changing. AI algorithms are adept at processing natural language, allowing businesses in Chandigarh to tailor their content to match conversational queries. Optimizing for voice search is becoming a crucial aspect of SEO, and AI is at the forefront of driving... Source: 7 months ago
Can anyone get the "ANALYZE" button on https://cloud.google.com/natural-language to do anything? Source: 11 months ago
We’re seeing successively difficult problems getting solved thanks to machine learning (ML) models. For example, Natural Language AI and Vision AI extract insights from text and images, with human-like results. They solve problems central to the way we communicate:. - Source: dev.to / about 1 year ago
Cloud Natural Language API: Text parsing and analysis 🔗Link 🔗Link. - Source: dev.to / over 1 year ago
spaCy - spaCy is a library for advanced natural language processing in Python and Cython.
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.
FuzzyWuzzy - FuzzyWuzzy is a Fuzzy String Matching in Python that uses Levenshtein Distance to calculate the differences between sequences.
Microsoft Bing Spell Check API - Enhance your apps with the Bing Spell Check API from Microsoft Azure. The spell check API corrects spelling mistakes as users are typing.
monkeylearn - Text Mining Made Easy. Extract and classify information from text. Integrate with your App within minutes.
