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## [1] '0.1.4'
mydata <- SpecialEduTech[seq_len(20), c("title", "abstract")]
united <- unite_cols(mydata, listed_vars = c("title", "abstract"))
toks   <- prep_texts(united, text_field = "united_texts")
dfm    <- quanteda::dfm(toks)
extract_keywords_tfidf(dfm, top_n = 10)
##         Keyword TF_IDF_Score Frequency
## 1           was    15.258649        44
## 2      practice    10.837080        18
## 3        groups    10.484550        15
## 4      educable    10.000000        10
## 5          were     9.948500        25
## 6         drill     9.785580        14
## 7   achievement     9.550560        24
## 8      mentally     9.062996        11
## 9  experimental     9.030900        15
## 10     assisted     9.016475        26

TextAnalysisR provides AI features via cloud-based providers.

On the hosted web app, Gemini usage is free, supported by the Google Cloud Research program. OpenAI calls require a personal API key.

Providers

Provider Type API Key Best For
OpenAI Web-based OPENAI_API_KEY Quality, speed
Gemini Web-based None on hosted app; otherwise GEMINI_API_KEY Quality, speed
spaCy Local None Linguistic analysis
Transformers Local None Embeddings, sentiment

Setup

Set keys via .Renviron (persistent) or Sys.setenv() (session). The cloud chat, embedding, and RAG functions (call_llm_api(), call_openai_chat(), call_gemini_chat(), get_api_embeddings(), run_rag_search()) require an API key and network access; see their reference pages for usage.

Default Models

Provider Chat Model Embedding Model
OpenAI gpt-4.1-mini text-embedding-3-small
Gemini gemini-2.5-flash gemini-embedding-001
Local - all-MiniLM-L6-v2

Responsible AI Design

All AI features follow NIST AI Risk Management Framework principles:

Principle Implementation
Human oversight AI suggests; review and approve
User control Edit, regenerate, or override any output
Transparency View prompts and parameters used
Privacy Local sentence-transformers and spaCy options for sensitive data
Grounding Content based on input data, not generic knowledge