TEXT ANALYTICS TOOLS

ProSuite is a collection of Provalis Research’s integrated text analytics tools (QDA Miner, WordStat, SimStat) that allows one to explore, analyze, and relate both structured and unstructured data. Provalis Research Text Analytics Tools allows one to perform advanced computer-assisted qualitative coding on documents and images using QDA Miner, to apply the powerful content analysis and text mining features of WordStat on textual data, and to perform advanced statistical analysis on numerical and categorical data using SimStat. ProSuite does not confine researchers and analysts to a single text analytics approach but allows them to choose the one that best fits the research question or the available data.

IMPORT FROM MANY SOURCES

Import Word, Excel, HTML, XML, SPSS, Stata, NVivo, PDFs, as well as images. Connect and directly import from social media, emails, web survey platforms, and reference management tools.

APPLY QUALITATIVE CODING TO DOCUMENTS

Code and annotate text segments and images using features that provide greater flexibility and ease of use.

PERFORM ADVANCED TEXT SEARCH

Achieve faster and more reliable coding with more than seven text search tools including keyword search, section retrieval, a powerful query-by-example search that learns from the user, and a unique cluster extraction that automatically groups similar text segments.

ANALYZE USING STATISTICAL AND VISUALIZATION TOOLS

Explore data, and identify patterns and trends using integrated statistical and visualization tools such as clustering, multidimensional scaling, or correspondence analysis.

EXTRACT THE MOST SALIENT TOPICS USING TOPIC MODELING

Get a quick overview of the most salient topics from very large text collections using state-of-the-art automatic topic extraction based on words, phrases, and related words (including misspellings).

EXPLORE CONNECTIONS

Explore relationships among words or concepts and retrieve text segments associated with specific connections.

RELATE TEXT WITH STRUCTURED DATA

Explore relationships between unstructured text and structured data such as dates, numbers or categorical data for identifying temporal trends or differences between subgroups or for assessing relationships with ratings or other kinds of categorical or numerical data with statistical and graphical tools (correspondence analysis, heatmaps, bubble charts, etc.).

CATEGORIZE YOUR TEXT DATA USING DICTIONARIES

Achieve full text analysis automation using existing dictionaries or create your own categorization model with unique computer assistance for building dictionaries.

CATEGORIZE YOUR TEXT DATA USING MACHINE LEARNING

Develop and optimize automatic document classification models using Naïve Bayes and K-Nearest Neighbours.

PERFORM GEOTAGGING AND TIME TAGGING

Associate geographic and time coordinates to text segments. Retrieve coded data, based on time and location, and plot events on timelines and maps.

TRANSFORM UNSTRUCTURED TEXT INTO INTERACTIVE MAPS (GIS MAPPING)

Relate unstructured text data with geographic information and create interactive plots of data points, thematic maps, and heatmaps, along with a geocoding web service for transforming location names, postal codes, and IP addresses into latitude and longitudes.

PERFORM STATISTICAL ANALYSIS AND BOOTSTRAPPING

Use a wide range of statistics, intuitive data, and output management features as well as a scripting language to automate statistical analysis and to write small applications, interactive tutorials, computer-assisted interviewing systems.

The Suite of software options allows users to conduct analyses more than most content analysis software currently available on the market

The Political Methodologist