TextAnalyzer

Spec sheet

Purpose

TextAnalyzer provides NLP tools for researchers to analyze text data.Read 8 Oct 2026 · textanalyzer.org

Support

Comments, suggestions, and bug reports can be sent to [email protected].Read 8 Oct 2026 · textanalyzer.org

Founded

2020Read 28 Sep 2026 · textanalyzer.org

Maker

The resource is provided by Jonah Berger, Garrick Sherman, and Lyle Ungar of the University of Pennsylvania.Read 8 Oct 2026 · textanalyzer.org

Demographics

An optional Age & Gender lexicon produces predictions about a text author’s age and gender.Read 8 Oct 2026 · textanalyzer.org

Input format

The analyzer accepts CSV or XLSX files with an ID column followed by a text column; additional columns are ignored.Read 8 Oct 2026 · textanalyzer.org

Lexical analysis

The tool combines open source lexica to run lexical analyses on uploaded text.Read 8 Oct 2026 · textanalyzer.org

Processing

Uploaded text is tokenized with the NLTK tokenizer, and results are returned as a tabular data file with a score column for each lexicon category.Read 8 Oct 2026 · textanalyzer.org

Sentiment and emotion

The NRC Hashtag Emotion and Sentiment lexicon covers anger, anticipation, disgust, fear, joy, sadness, surprise, trust, and positive and negative sentiment.Read 8 Oct 2026 · textanalyzer.org

Supported language

The about page describes the input as English language text.Read 8 Oct 2026 · textanalyzer.org

Text features

Available text features include Flesch-Kincaid grade level, concreteness and familiarity, emotionality, and pronoun frequencies.Read 8 Oct 2026 · textanalyzer.org

Topic modeling

The tool computes topic models using latent Dirichlet allocation.Read 8 Oct 2026 · textanalyzer.org

Plans and prices

Every TextAnalyzer plan and price →

Where Specifiction places it

• Text Analytics Software#27 of 377.1