From 255e57ac9daea009a48d4a945e26a8c40140d70f Mon Sep 17 00:00:00 2001 From: Nick Oh <130935698+nick-sh-oh@users.noreply.github.com> Date: Sun, 14 Jan 2024 06:30:21 +0000 Subject: [PATCH] Update README.md --- README.md | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/README.md b/README.md index 3e22a31..8cc0635 100644 --- a/README.md +++ b/README.md @@ -19,7 +19,7 @@ However, creating effective rule-based systems faces several challenges:: ## Key Capabilities -- **14+ (and counting) sentiment dictionaries** spanning domains and use cases +- **15+ (and counting) sentiment dictionaries** spanning domains and use cases - Curation of dictionaries provided by **leading experts** in sentiment analysis - Access **original lexicons** and **preprocessed versions** - Customise existing dictionaries or contribute new ones @@ -64,6 +64,7 @@ See below for the available predefined lexicon identifier. |**OpinionLexicon**
(Hu and Liu, 2004)| Opinion words tailored for sentiment analysis of product reviews.|Product Reviews|Consumer Products|`OpinionLexicon_v2004`| |**SenticNet**
(Cambria et al., 2010; Cambria, Havasi and Hussain, 2012; Cambria, Olsher and Rajagopal, 2014; Cambria et al., 2016; Cambria et al., 2018; Cambria et al., 2020; Cambria et al., 2022) | Conceptual lexicon providing multidimensional sentiment analysis for commonsense concepts and expressions. | General | General | `SenticNet_v2010`, `SenticNet_v2012`, `SenticNet_v2012_attributes`, `SenticNet_v2012_semantics`, `SenticNet_v2014`, `SenticNet_v2014_attributes`, `SenticNet_v2014_semantics`, `SenticNet_v2016`, `SenticNet_v2016_attributes`, `SenticNet_v2016_mood`, `SenticNet_v2016_semantics`, `SenticNet_v2018`, `SenticNet_v2018_attributes`, `SenticNet_v2018_mood`, `SenticNet_v2018_semantics`, `SenticNet_v2020`, `SenticNet_v2020_attributes`, `SenticNet_v2020_mood`, `SenticNet_v2020_semantics`, `SenticNet_v2022`, `SenticNet_v2022_attributes`, `SenticNet_v2022_mood`, `SenticNet_v2022_semantics` | |**SentiWordNet**
(Esuli and Sebastiani, 2006; Baccianella, Esuli and Sebastiani, 2010)| Lexicon associating WordNet synsets with positive, negative, and objective scores. |General|General| `SentiWordNet_v2010_logtransform`, `SentiWordNet_v2010_simple`| +| **SO-CAL**
(Taboada et al., 2011) | Lexicon designed for domain-independent sentiment analysis. | General | General | `SO-CAL_v2011` | |**VADER**
(Hutto and Gilbert, 2014)| General purpose lexicon optimised for social media and microblogs. |Social Media|General| `VADER_v2014`| |**WordNet-Affect**
(Strapparava and Valitutti, 2004; Valitutti, Strapparava and Stock, 2004; Strapparava, Valitutti and Stock, 2006)| Hierarchically organised affective labels providing a granular emotional dimension. |General|Psychology| `WordNet-Affect_v2006`|