WKWSCI Sentiment Lexicon v1.1 (doi:10.21979/N9/DWWEBV)

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Part 1: Document Description
Part 2: Study Description
Part 3: Data Files Description
Part 4: Variable Description
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Document Description

Citation

Title:

WKWSCI Sentiment Lexicon v1.1

Identification Number:

doi:10.21979/N9/DWWEBV

Distributor:

DR-NTU (Data)

Date of Distribution:

2017-08-04

Version:

1

Bibliographic Citation:

Khoo, Christopher Soo Guan; Johnkhan, Sathik Basha, 2017, "WKWSCI Sentiment Lexicon v1.1", https://doi.org/10.21979/N9/DWWEBV, DR-NTU (Data), V1, UNF:6:WXasCd70LocE3IOqZSytug== [fileUNF]

Study Description

Citation

Title:

WKWSCI Sentiment Lexicon v1.1

Identification Number:

doi:10.21979/N9/DWWEBV

Authoring Entity:

Khoo, Christopher Soo Guan (Nanyang Technological University)

Johnkhan, Sathik Basha (Nanyang Technological University)

Software used in Production:

(To be confirmed)

Grant Number:

Academic Research Fund Tier 1 RGT38/13

Distributor:

DR-NTU (Data)

Access Authority:

Khoo, Christopher Soo Guan

Depositor:

Cheng, Wei Yeow

Date of Deposit:

2017-08-04

Holdings Information:

https://doi.org/10.21979/N9/DWWEBV

Study Scope

Keywords:

Computer and Information Science, Computer and Information Science, Sentiment lexicon, Sentiment analysis, Sentiment categorisation

Abstract:

<p>WKWSCI Sentiment Lexicon v1.1 (named after the authors’ school Wee Kim Wee School of Communication & Information) is a new general-purpose sentiment lexicon. The lexicon is based on the 12dicts common American English word lists compiled by Alan Beale from twelve source dictionaries. The lexicon was completed at the end of 2016. The lexicon contains 29,729 words tagged with 4 parts-of-speech: adjective, adverb, noun, and verb. The lexicon comprises 3,187 positive words, 7,247 negative words and 19,295 neutral words.</p> <p>WKWSCI Sentiment Lexicon v1.0 was described and compared with five existing lexicons in the paper "Lexicon-Based Sentiment Analysis: Comparative Evaluation of Six Sentiment Lexicons". Version 1.1 includes some improvements resulting from the reported study. For more information about the origin and features of the lexicon, please see related publication.</p>

Kind of Data:

Textual data

Methodology and Processing

Sources Statement

Data Access

Other Study Description Materials

Related Publications

Citation

Identification Number:

10.1177/0165551517703514

Bibliographic Citation:

Khoo, C. S., & Johnkhan, S. B. (2017). Lexicon-based sentiment analysis: Comparative evaluation of six sentiment lexicons. Journal of Information Science, pp. 1–21.

Citation

Identification Number:

10356/83570

Bibliographic Citation:

Khoo, C. S., & Johnkhan, S. B. (2017). Lexicon-based sentiment analysis: Comparative evaluation of six sentiment lexicons. Journal of Information Science, pp. 1–21.

File Description--f174

File: WKWSCISentimentLexicon_v1.1.tab

  • Number of cases: 29834

  • No. of variables per record: 3

  • Type of File: text/tab-separated-values

Notes:

UNF:6:WXasCd70LocE3IOqZSytug==

Variable Description

List of Variables:

Variables

term

f174 Location:

Variable Format: character

Notes: UNF:6:gAaSnvr68y/WFDI6lcX1mg==

POS

f174 Location:

Variable Format: character

Notes: UNF:6:LL8sNPw1wgelKj08j7HlNg==

sentiment

f174 Location:

Summary Statistics: Valid 29834.0; Mean -0.18291211369578517; Max. 3.0; StDev 0.9142288113840126; Min. -3.0

Variable Format: numeric

Notes: UNF:6:y4f/omPVo1/SFzXwjUX22Q==