Volume 11 - Volume 11
Employee Performance Evaluation Using Sentiment Analysis
Abstract
Emotional analysis and data mining has become a hot topic in the field of data mining and natural
language analysis as a solidly typed mining activity to analyze the concept of objects (i.e., emotion)
expressed in the text. Emotional analysis is an important step in the recommendation process,
because it allows you to separate the sense of the root context (e.g., positive or negative). In
emotional analysis, the word-of-word (BOW) model is widely used in text classification, similar to
how it is used in the modeling of a traditional theme. These two anti-emotional texts are considered
very similar to the BOW representation. That is why, as a result of polarity change, machine learning
methods often fail. We recommend combining a semantic analysis program with a separator to
evaluate work results.
Paper Details
PaperID: 1829
Author's Name: Dr.R. Sasikumar, Badi Alekhya, K. Harshita, O.S. Hema Sree and I. Kamakshi Pravallika
Volume: Volume 11
Issues: Volume 11
Keywords: Component, Formatting, Style, Styling, Insert.
Year: 2021
Month: April
Pages: 2086-2095