Virtue and Vice, from the Visualizing Literature toolset, allows users to select a text from Visualizing Literature's list of grade school curriculum exemplar creative commons texts and graph out all instances of words suggestive of virtue and vice within the text. All texts are searchable, and can be sorted by writer, title, publication year, grade level, availability for analysis and availablility of a direct link to the text. Please note that, as this toolset is still in beta, the selection of texts is currently limited, though over 300 texts are forthcoming.

As of 2014, this toolset is no longer available as the website has been taken down. It may still be viewed via the Internet Archive.

Diction is a text analysis program for purchase, designed to determine the tone of a text, and generate reports and statistical analysis from it. DICTION versions are available for Windows® on a PC and Mac®.

MAXQDA is a commercial software package for facilitating qualitative and mixed methods research. It includes a graphical interface for organizing and categorizing data, and can import data in a wide variety of formats, including web formats, images, audio and video and spreadsheets. Data can be encoded in several ways, such as keywords, colours or symbols. It includes visualization and report generation.

LIWC (Linguistic Inquiry and Word Count) is a text analysis program available for purchase. It calculates the degree to which various categories of words are used in a text, and can process texts ranging from e-mails to speeches, poems and transcribed natural language in either plain text or Word formats. A free, minimalist web version is available through the website.

Profiler Plus is a commercial general-purpose text analysis program based on natural language processing. It supports multiple languages and can output in text, XML and CSV.

BookLamp's Sentiment Viewer is a visualization tool that graphs out a book's sentiments according to intensity and location in the text. Books to graph can be searched by title or author.

etcML (Easy Text Classification with Machine Learning) is a free text analysis tool from Stanford University that uses machine learning to identify positive and negative sentiments in texts. Users can analyze their own dataset, use a dataset provided with the tool, or search Twitter for keywords of interest.

SentiStrength is a tool for sentiment analysis available for free to academic users (with registration), in Java and Windows-optimized versions. It estimates the strength of sentiment in short texts, and can handle informal language. Strength is expressed in a scale of 1 to 5 for positive sentiments, and -1 to -5 for negative; it also includes an option for assessing neutrality. SentiStrength is available for multiple languages, with extensibility for languages and contexts not already included. According to the developers, SentiStrength has human-level accuracy for short English texts. Commercial users must purchase a license.

NetvizzToSentiStrength is a free, web-based sentiment analysis tool for short texts, designed to work particularly with a Netvizz search of Facebook data. In addition to Netvizz data, it also accepts DMI-TCAT and CSV files. 

The Stanford NLP Group's Sentiment Analysis tool is a free, web based live demo based on a sentiment analysis treebank, trained to predict the sentiment in movie reviews. Users can test out the sentiment analysis model with their own text in the box provided. The dataset and code is available for download, and the sentiment analysis model is now integrated into Stanford CoreNLP.