You may refer to the papers given below:

1. Nair, D. S., Jayan, J. P., & Sherly, E. (2014, September). SentiMa-sentiment extraction for Malayalam. In Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on (pp. 1719-1723). IEEE.

2. Nair, D. S., Jayan, J. P., Rajeev, R. R., & Sherly, E. (2015, August). Sentiment Analysis of Malayalam film review using machine learning techniques. In Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on (pp. 2381-2384). IEEE.

Suggest you search R CRAN repository, which includes details for all R packages.

You may refer to the papers given below:

1. Nair, D. S., Jayan, J. P., & Sherly, E. (2014, September). SentiMa-sentiment extraction for Malayalam. In Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on (pp. 1719-1723). IEEE.

2. Nair, D. S., Jayan, J. P., Rajeev, R. R., & Sherly, E. (2015, August). Sentiment Analysis of Malayalam film review using machine learning techniques. In Advances in Computing, Communications and Informatics (ICACCI), 2015 International Conference on (pp. 2381-2384). IEEE.

Most text mining packages will work independent of text language (only the applied resources such as dictionaries etc and your interpretation will be language-specific). For an overview of relevant R packages see: https://cran.r-project.org/web/views/NaturalLanguageProcessing.html

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