Indicators and measures by country and time describe
    what happens at economic and social levels. This package provides
    functions to calculate several measures of convergence after imputing
    missing values. The automated downloading of Eurostat data,
    followed by the production of country fiches and indicator fiches,
    makes possible to produce automated reports.
    The Eurofound report (<doi:10.2806/68012>)
    "Upward convergence in the EU: Concepts, measurements and indicators", 
    2018, is a detailed  presentation of  convergence.

Imports conversation transcripts into R, concatenates them into a single dataframe appending event identifiers, cleans and formats the text, then yokes user-specified psycholinguistic database values to each word.  'ConversationAlign' then computes alignment indices between two interlocutors across each transcript for >40 possible semantic, lexical, and affective dimensions. In addition to alignment, 'ConversationAlign' also produces a table of analytics (e.g., token count, type-token-ratio) in a summary table describing your particular text corpus.

Analyze and compare conversations using various similarity measures
    including topic, lexical, semantic, structural, stylistic, sentiment,
    participant, and timing similarities. Supports both pairwise conversation
    comparisons and analysis of multiple dyads. Methods are based on established research:
    Topic modeling: Blei et al. (2003) <doi:10.1162/jmlr.2003.3.4-5.993>;
    Landauer et al. (1998) <doi:10.1080/01638539809545028>;
    Lexical similarity: Jaccard (1912) <doi:10.1111/j.1469-8137.1912.tb05611.x>;
    Semantic similarity: Salton & Buckley (1988) <doi:10.1016/0306-4573(88)90021-0>;
    Mikolov et al. (2013) <doi:10.48550/arXiv.1301.3781>;
    Pennington et al. (2014) <doi:10.3115/v1/D14-1162>;
    Structural and stylistic analysis: Graesser et al. (2004) <doi:10.1075/target.21131.ryu>;
    Sentiment analysis: Rinker (2019) <https://github.com/trinker/sentimentr>.