Rachit Singh
Text analysis APIs allow you to use the leverage of pre-built tools rather than having to create the software from scratch. Here are some text analytics APIs that you can use in your company.
BytesView data analysis tool is one of the most effective and easiest ways to extract insights for unstructured text data. Get personalized insights to improve marketing, customer support, human resources, and more
Text Analysis and Machine Learning made easy. Get started for free!
Analyze text with AI using pre-trained API or custom AutoML machine learning models to extract relevant entities, understand sentiment, and more.
Turn unstructured text into meaningful insights with Text Analytics. Get sentiment analysis, key phrase extraction, and language and entity detection.
Flexible natural language processing APIs and complete text analytics platform solutions for data analytics companies and data analyst teams.
spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.
An end-to-end open source machine learning platform for everyone. Discover TensorFlow's flexible ecosystem of tools, libraries and community resources.
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, tagging, parsing, and semantic reasoning,
wrappers for industrial-strength NLP libraries,
and an active discussion forum.
Applications: Spam detection, image recognition.
Algorithms:
SVM,
nearest neighbors,
random forest,
and more...
An open source machine learning framework that accelerates the path from research prototyping to production deployment.
