TextBlob

Text Analysis is a complex and specialized task. Textalytic makes it super simple to extract insight from the textual content. Use our corpus builder to preprocess your text. Copy and paste the text into the editor or upload a file from your computer or Dropbox. You can view your results in a table, graphs, or export them to csv and pdf format. Graphs can be saved as image files, embedded on websites, or emailed. Gain insights from rich colorful charts and graphs. The compare features function allows you to compare features in a dynamic scatterplot. Analyze the frequency of words that describe a noun or pronoun. Analyze the frequency of words that describe an action or state of being. Analyze the frequency of words that indicates the relationship of words. Analyze frequency of group of words that define the subject.

spaCy is designed to help you do real work, 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. spaCy excels at large-scale information extraction tasks. It's written from the ground up in carefully memory-managed Cython. If your application needs to process entire web dumps, spaCy is the library you want to be using. Since its release in 2015, spaCy has become an industry standard with a huge ecosystem. Choose from a variety of plugins, integrate with your machine learning stack, and build custom components and workflows. Components for named entity recognition, part-of-speech tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking, and more. Easily extensible with custom components and attributes. Easy model packaging, deployment, and workflow management.