QCAmap

Get insightful text analysis with machine learning that extracts, analyzes, and stores text. Train high-quality machine learning custom models without a single line of code with AutoML. Apply natural language understanding (NLU) to apps with Natural Language API. Use entity analysis to find and label fields within a document, including emails, chat, and social media, and then sentiment analysis to understand customer opinions to find actionable product and UX insights. Natural Language with speech-to-text API extracts insights from audio. Vision API adds optical character recognition (OCR) for scanned docs. Translation API understands sentiments in multiple languages. Use custom entity extraction to identify domain-specific entities within documents, many of which don’t appear in standard language models, without having to spend time or money on manual analysis. Train your own high-quality machine learning custom models to classify, extract, and detect sentiment.

QDA Miner Lite is a free and easy-to-use version of our popular computer-assisted qualitative analysis software. It can be used for the analysis of textual data such as interview and news transcripts, open-ended responses, etc. as well as for the analysis of still images. Importation of documents from plain text, RTF, HTML, PDF as well as data stored in Excel, MS Access, CSV, tab-delimited text files. Importation from other qualitative coding software such as Atlas.ti, HyperResearch, Ethnograph, from transcription tools like Transana and Transcriber as well as from Reference Information System (.RIS) files. Ability to add comments (or memos) to coded segments, cases, or the whole project. Coding retrieval with Boolean (and, or, not) and proximity operators (includes, enclosed, near, before, after). Export tables to XLS, Tab Delimited, CSV formats, and Word format. Interface and help file in English, French, and Spanish.