NLP Cloud Alternatives
NLP Cloud is described as 'serves high performance pre-trained or custom models for NER, sentiment-analysis, classification, summarization, dialogue summarization, paraphrasing, intent classification, product description and ad generation, chatbot, grammar and spelling correction, keywords and' and is an app in the ai tools & services category. There are more than 10 alternatives to NLP Cloud for a variety of platforms, including Self-Hosted solutions, SaaS, Python, Online / Web-based and Windows. The best alternative is spaCy, which is both free and Open Source. Other great apps like NLP Cloud are Spark NLP, Polyglot NLP, PyNLPl and TextBlob.
NLP Cloud alternatives are mainly SEO Tools but may also be AI Companions. Filter by these if you want a narrower list of alternatives or looking for a specific functionality of NLP Cloud.
spaCy is a leading NLP toolkit for Python. It's designed to help you do real work — to build real products, or gather real insights. The library respects your time, and tries to avoid wasting it. It's easy to install, and its API is simple and productive.
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State of the Art Natural Language Processing
The first production grade versions of the latest deep learning NLP research.
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Polyglot is a natural language pipeline for Python that supports massive multilingual applications. Polyglot depends on pycld2 library which in turn depends on cld2 library for detecting language(s) used in plain text.
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PyNLPl is a Python library for Natural Language Processing. It contains various modules useful for common, and less common, NLP tasks. PyNLPl can be used for basic tasks such as the extraction of n-grams and frequency lists, and to build simple language model.
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TextBlob is a Python (2 and 3) library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
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The Apache OpenNLP library is a machine learning based toolkit for the processing of natural language text. This toolkit is written completely in Java and provides support for common NLP tasks, such as tokenization, sentence segmentation, part-of-speech tagging, named entity...
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NLTK is a leading platform for building Python programs to work with human language data. It provides easy-to-use interfaces to over 50 corpora and lexical resources such as WordNet, along with a suite of text processing libraries for classification, tokenization, stemming...
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First LSI keyword research tool powered by AI that can sort by relevance and user intent. Keyword tools often suggest unrelated keywords. This tool was built so that just by moving some sliders, you'll get a keyword list ready for campaign testing.
Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
BytesView data analysis tool is one of the most effective and easiest ways to extract insights for unstructured text data. Get insights to improve marketing, customer support, human resources, and more
