xinzhuohkust/sentimentRPy

R package for sentence-level and word-level sentiment analysis

sentimentRPy

Author: Xinzhuo Huang

Version: 0.1.0

An R package for sentence-level and word-level sentiment analysis which support vectorization, multithreading and is robust to errors.

Installation

remotes::install_github("xinzhuohkust/sentimentRPy")

Usage

word-level sentiment analysis

sentimentRPy::get_sentimentR(
    text = c("I am happy", "I am sad"),
    method = "word"
    )

sentence-level sentiment analysis

sentence-level will take the linking words of contrast and negation into account.

sentimentRPy::get_sentimentR(
    text = "I am not happy, but I am also not unhappy.",
    method = "sentence"
    )

multithreading model using all availabel CPU cores.

sentimentRPy::get_sentimentR(
    text = a large corpus,
    method = "sentence", # or word
    multisession = TRUE
    )

sentence-level with spacy and asent

asent <- sentimentRPy::asent_setup(python = "C:\\Users\\xhuangcb\\anaconda3\\envs\\pytorch_gpu\\python.exe")

sentimentRPy::get_sentimentPy("I am not happy, but I am also not unhappy.")