T-LAB offers one of the most complete, easy-to-use,
flexible and transparent software environments
analysis and text mining.
T-LAB software is an all-in-one set of linguistic, statistical
and graphical tools designed to allow you to enjoy text analysis. Show more/less
Many types of texts can be analysed: speech
transcripts, newspaper articles, responses to open-ended questions,
Twitter messages, transcripts of interviews and focus groups,
legislative texts, patents, company documents, books, etc.
More than ten different formats - either documents or tabular
data - are supported: .txt, .doc, .docx, .pdf, .rtf, .html,
.xls, .xlsx, .csv, .mdb, .accdb.
Texts in all languages can be analysed, including those using
here to see how thirty (30) languages are
supported by T-LAB Plus.
is used in about forty countries, and highly valued both by researchers
in leading universities, and professional analysts across many fields. Show more/less
They include sociologists, marketing consultants,
psychologists, political scientists, economists, linguists, philosophers,
public administration managers, anthropologists, historians, psychiatrists
uses a kind of text-driven automatic approach which allows meaningful
patterns of words and themes to emerge. Show more/less
T-LABís architecture actually encourages you to be intrigued by
the circular transformations in your data and to explore them
All processes are transparent and can be easily customized.
Various analysis methods can be applied.
Tables and charts are interactive and can be exported in various formats.
The user's interface, the contextual help and the manual
are in four languages: English, French, Spanish, Italian.
the text is processed T-LAB knows each word, each sentence and each
document through and through. Show more/less
The pre-processing steps include: text segmentation,
automatic lemmatisation or stemming, multi-word and stop-word
detection, key-term selection.
Subsequently, three sub-menus allow easy browsing between several
analysis tools allow measuring, exploring and mapping of various
types of relationships between key-terms either in pairs or in
groups, either within the entire corpus or within its subsets
(i.e. newspaper articles from specific time periods, interviews
with people belonging to the same demographic category, etc.).
The thematic analysis tools deal mostly with
finding patterns of key-words within context
units. Actually the way T-LAB allows us to
manage thematic analysis is unique. In fact all analysis units
(i.e. words, text segments and documents) can be grouped either
by a bottom-up or a top-down approach.
The comparative analysis tools enable us
to analyse and map similarities and differences between corpus
subsets, each of which has a specific lexical
profile resulting from the key-terms which occur in it.
Both similarities and differences can be explored either between
pairs or within groups.