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NLTK vs ScalaNLP: What are the differences?
NLTK: It is a leading platform for building Python programs to work with human language data. It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language; ScalaNLP: A suite of machine learning and numerical computing libraries. ScalaNLP is a suite of machine learning and numerical computing libraries.
NLTK and ScalaNLP belong to "Machine Learning Tools" category of the tech stack.
ScalaNLP is an open source tool with 2.93K GitHub stars and 674 GitHub forks. Here's a link to ScalaNLP's open source repository on GitHub.
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What is NLTK?
It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
What is ScalaNLP?
ScalaNLP is a suite of machine learning and numerical computing libraries.
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What tools integrate with NLTK?
What tools integrate with ScalaNLP?
What tools integrate with NLTK?
What tools integrate with ScalaNLP?
What are some alternatives to NLTK and ScalaNLP?
SpaCy
It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
Gensim
It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
scikit-learn
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.