Скачать или смотреть Top 10 Best Natural Language Processing Tools 2021-NLP-NLP Techniques- NLP Techniques In English

Top 10 Best Natural Language Processing Tools 2021-NLP-NLP Techniques- NLP Techniques In English-NLP Tutorial,NLP Training Videos,NLP Course,NLP In AI,NLP In Artificial Intelligence,Natural Language Processing,Natural Language Processing in AI.
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Natural Language Processing (NLP) is the fastest-growing branch of Artificial Intelligence.NLP making linguistics and computer science to make human language comprehensible to robots.
Top 10 Best Open Source NLP Tools
1. IBM Watson :IBM Watson NLP is having major capabilities, allowing you to detect and extract keywords, categories, emotions, entities, and more.
2. CoreNLP :It is a powerful and quick annotator for discretionary texts that is widely used in production.It is largely Java-based.
3. SpaCy :It includes pre-trained statistical models as well as word vectors.It is a Python and Cython-compatible library.It enables tokenization for more than 49 languages.
4. AllenNLP: AllenNLP is a sophisticated prototype tool with text processing features.When compared to SpaCy, this tool is less successful in manufacturing, but it is widely utilised in research.
5. NTLK: It is one of the most popular NLP tools, offers a complete set of programmes and modules for statistical and symbolic analysis in Python.This tool splits a large piece of text into smaller sections (tokenization).
6. GPT-3: It is a new tool from Open AI currently extremely popular.It is an autocomplete application that is mostly used for text prediction.
7. Berkeley Neural Parser: Python also makes use of this tool.It is a high accuracy parser with 11 language models.It deconstructs sentence syntactic structure into nested subphrases.
8. MonkeyLearn: MonkeyLearn is a simple NLP tool that aids in the extraction of important insights from text data.It allows for text analysis such as sentiment analysis, subject categorization, and keyword extraction, among other things.
9. TextBlob: It is the greatest choice for sentiment analysis, tokenization, translation, phrase extraction, part-of-speech tagging, lemmatization, classification, spelling correction, and more features are available.
10. GenSim: GenSim is service intended for the extraction of information and the processing of natural language.It have large number of methods that can be used regardless of the amount of the linguistic data collection.
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