FoLiA Reviews

IBM SPSS Text Analytics for Surveys software lets you transform unstructured survey text into quantitative data and gain insight using sentiment analysis. The solution uses natural language processing (NLP) technologies specifically designed for survey text.

spaCy is a Python NLP library that helps user get their work out of papers and into production.

Google Cloud Natural Language API reveals the structure and meaning of text by offering machine learning models in an easy to use REST API, user can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts and to understand sentiment about product on social media or parse intent from customer conversations happening in a call center or a messaging app.

Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.

IBM Watson Tone Analyzer is a service that uses linguistic analysis to detect three types of tones from text: emotion, social tendencies, and language style, emotions identified include things like anger, fear, joy, sadness, and disgust, identified social tendencies include things from the Big Five personality traits used by some psychologists includi openness, conscientiousness, extroversion, agreeableness, and emotional range and identified language styles include confident, analytical, and tentative.