Visualise complex relations in texts. This is done by providing functionalities for displaying 
    text co-occurrence networks, text correlation networks, dependency relationships as well as text clustering and semantic text 'embeddings'. 
    Feel free to join the effort of providing interesting text visualisations. Do note that to avoid the risk of CRAN archival that you should put packages as much as possible in Suggests.
    Package 'ggalt' is available in the CRAN archive: <https://cran.r-project.org/package=ggalt>.

A toolkit for web scraping, modular NLP pipelines, and text
    preparation for large language models. Organized around four core
    actions: fetching, reading, processing, and searching. Covers the full
    pipeline from raw web data acquisition to structural text processing and
    BM25 indexing. Supports multiple retrieval strategies including regex,
    dictionary matching, and ranked keyword search. Pipe-friendly with no
    heavy dependencies; all outputs are plain data frames or data.tables.

The 'textrank' algorithm is an extension of the 'Pagerank' algorithm for text. The algorithm allows to summarize text by calculating how sentences are related to one another. This is done by looking at overlapping terminology used in sentences in order to set up links between sentences. The resulting sentence network is next plugged into the 'Pagerank' algorithm which identifies the most important sentences in your text and ranks them. 
    In a similar way 'textrank' can also be used to extract keywords. A word network is constructed by looking if words are following one another. On top of that network the 'Pagerank' algorithm is applied to extract relevant words after which relevant words which are following one another are combined to get keywords.  
    More information can be found in the paper from Mihalcea, Rada & Tarau, Paul (2004) <https://www.aclweb.org/anthology/W04-3252/>.

A wrapper for the 'TexTra' API <https://mt-auto-minhon-mlt.ucri.jgn-x.jp/>, 
    a web service for translating texts between different languages. 
    'TexTra' API account is required to use the service.