The phrase "approach to sentiments" is correct and usable in written English.
It can be used when discussing a method or perspective regarding feelings or emotional responses.
Example: "Her approach to sentiments in her poetry allows readers to connect deeply with their own emotions."
Alternatives: "perspective on feelings" or "method for understanding emotions".
Delete, retrieve, generate: a simple approach to sentiment and style transfer.
Also, it would be interesting to consider other sentiment analysis methods than SentiWordNet [63], or extend machine learning approach to sentiment analysis (e.g. [28, 44]).
The first algorithm adopts a semi-supervised approach to sentiment classification, combining knowledge of the sentiment polarity for a few documents and a small lexicon of words with information present in a corpus of unlabeled documents; note that such unlabeled data are readily obtainable in online applications.
The state-of-the art approaches to sentiment analysis/detection involves attributing a polarity to a textual message.
Machine learning approaches to sentiment have become commonplace for interpreting intent in conversational interfaces and making mood-appropriate product recommendations, among other things.
In most of the existing approaches to sentiment analysis, the output of the process is represented as a positive or negative class label.
Application of a lexicon is one of the two main approaches to sentiment analysis and it involves calculating the sentiment from the semantic orientation of word or phrases that occur in a text [25].
However, because lexical information is only one of the data sources used in the proposed approaches to sentiment estimation, it is expected that overall performance will exhibit robustness to imperfections in any one source of data; indeed, this study provides a simple test of this expected robustness.
This study therefore offers the opportunity to explore the utility of a very simple approach to multilingual sentiment analysis: translate a small lexicon of sentiment-laden words into the language of interest and then apply Algorithm SS or Algorithm TL directly within that language (treating words as tokens).
