Lexicon Based Sentiment Analysis of Urdu Text Using SentiUnits

Syed, Afraz Z.; Aslam, Muhammad; Martinez-Enriquez, A. M.

doi:10.1007/978-3-642-16761-4_4

Cited by 52 publications

(36 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…So +1 will be assigned to each of them, and collectively, زیادہ مضبوط (ziyadah mazboot,i.e., more strong) will get +2 polarity. The intensity of “ بہت زيادہ ” (bohat ziyadah,i.e., too much) is much more than “ زيادہ ” (ziyadah,i.e., more; Syed, Muhammad, & Enríquez, ). Thus, if there are two amplifiers before/after a positive word, then the word and each amplifier will be separately assigned +1 polarity.…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Identification and handling of intensifiers for enhancing accuracy of Urdu sentiment analysis

et al. 2018

View full text Add to dashboard Cite

Just like other languages, a large number of intensifiers are used in Urdu language. There may be a single occurrence of an intensifier or there may be multiple consecutive occurrences. While performing sentiment analysis of Urdu text, these intensifiers need special treatment for obtaining more accurate results, which is the main focus of this research work. A wide coverage Urdu sentiment lexicon is developed where intensifiers are identified and placed in a separate file. While developing Urdu sentiment analyser, rules are specifically formulated for assigning polarities to the intensifiers in text, if they are surrounded by the positive or negative words. Results show that the method proved to be effective in attaining the correct classification of Urdu sentences as positive, negative, or neutral, compared with traditional methods. Implementation of rules for intensifiers increased the accuracy of Urdu sentiment analyser from 78.33% to 83.42%, which is a statistically significant improvement. It is concluded that intensifiers cannot be ignored while performing sentiment analysis. Effective handling of intensifiers can significantly improve the performance of sentiment analyser.

show abstract

Section: Methodsmentioning

confidence: 99%

“…2. The intensity of " ‫ﺑ‬ ‫ﮩ‬ ‫ﺖ‬ ‫ﺯ‬ ‫ﻳ‬ ‫ﺎ‬ ‫ﺩ‬ ‫ﮦ‬ " (bohat ziyadah,i.e., too much) is much more than " ‫ﺯ‬ ‫ﻳ‬ ‫ﺎ‬ ‫ﺩ‬ ‫ﮦ‬ " (ziyadah,i.e., more; Syed, Muhammad, & Enríquez, 2010).…”

Section: Rules For Handling Intensifiersmentioning

confidence: 99%

Identification and handling of intensifiers for enhancing accuracy of Urdu sentiment analysis

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Like there are several ways for plural determination in this language. Sayed et.al [19] provides this system language for sentiment analysis which is based on concept of SentiUnits lexicon specifically used for Urdu. This SentiUnits consists of two types of adjectives namely single and multiple phrases adjectives.…”

Section: Urdumentioning

confidence: 99%

Sentiment Analysis Approach for Resource-Scarce Languages

2017

IJAERD

View full text Add to dashboard Cite

“…A Sentiment Analysis system is proposed for Urdu in [43]. This system has very special characteristics related to the language itself as Urdu is written from right to left.…”

Section: Urdumentioning

confidence: 99%

Sentiment/subjectivity analysis survey for languages other than English

Korayem¹,

AlJadda²,

Crandall

2016

Soc. Netw. Anal. Min.

View full text Add to dashboard Cite

Subjective and sentiment analysis have gained considerable attention recently. Most of the resources and systems built so far are done for English. The need for designing systems for other languages is increasing. This paper surveys different ways used for building systems for subjective and sentiment analysis for languages other than English. There are three different types of systems used for building these systems. The first (and the best) one is the language specific systems. The second type of systems involves reusing or transferring sentiment resources from English to the target language. The third type of methods is based on using language independent methods. The paper presents a separate section devoted to Arabic sentiment analysis.

show abstract

Lexicon Based Sentiment Analysis of Urdu Text Using SentiUnits

Cited by 52 publications

References 10 publications

Identification and handling of intensifiers for enhancing accuracy of Urdu sentiment analysis

Identification and handling of intensifiers for enhancing accuracy of Urdu sentiment analysis

Sentiment Analysis Approach for Resource-Scarce Languages

Sentiment/subjectivity analysis survey for languages other than English

Contact Info

Product

Resources

About