Call for Paper - January 2023 Edition
IJCA solicits original research papers for the January 2023 Edition. Last date of manuscript submission is December 20, 2022. Read More

Sentiment Analyzing by Dictionary based Approach

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Fatehjeet Kaur Chopra, Rekha Bhatia

Fatehjeet Kaur Chopra and Rekha Bhatia. Sentiment Analyzing by Dictionary based Approach. International Journal of Computer Applications 152(5):32-34, October 2016. BibTeX

	author = {Fatehjeet Kaur Chopra and Rekha Bhatia},
	title = {Sentiment Analyzing by Dictionary based Approach},
	journal = {International Journal of Computer Applications},
	issue_date = {October 2016},
	volume = {152},
	number = {5},
	month = {Oct},
	year = {2016},
	issn = {0975-8887},
	pages = {32-34},
	numpages = {3},
	url = {},
	doi = {10.5120/ijca2016911814},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Sentiment analysis has emerged as a field of study since the widespread of World Wide Web and internet. Opinion refers to withdrawal of lines or phrase in the unprocessed and immense data which express an opinion. Sentiment analysis further recognizes the polarity of the viewpoint being extricated. In this paper it is proposed that the sentiment analysis done by dictionary based approach. The consequence viewpoint is described as very high, high, moderate, low and very low.


  1. Karamibekr, M., & Ghorbani, A. A. (2012). Sentiment analysis of social issues. Int. Conf. on Social Informatics, , 215-221.
  2. Kaur, A., & Gupta, V. (Nov. 2013). A survey on sentiment analysis and opinion mining techniques. Proceedings of Journal of Emerging Technologies in Web Intelligence , Vol.5, No. 4.
  3. Phyu Shein, K. P., & Nyunt, T. t. (2010). Sentiment Classification based on Ontology and SVM Classifier. Second International Conference on Communication Software and Networks.
  4. Joshi, A., A R, B., & Bhattacharyya, P. (2010). A fall strategy for sentiment analysis in Hindi : A case study. International Conference on Natural Language Processing.
  5. M S, N., & R, R. (2011). Sentiment Analysis in Twitter using Machine Learning Techniques- Sentiment analysis of Twitter data. LSM '11 Proceedings of the Workshop on Languages in Social Media, Association for Computational Linguistics, (pp.30-38).
  6. Kang Hanhoon, Y. S. (2012). Senti-lexicon and improved Naive Bayes algorithms for sentiment analysis of restaurant reviews. (pp. 39:6000–10). Expert Syst Appl.
  7. Dziczkowski, G., Wegrzyn-Wolska, K., & Mines de Paris, E. d. (2008). An autonomous system designed for automatic detection and rating of film reviews. International Conference on Web Intelligence and Intelligent Agent Technology.
  8. Mao, J. (2012). Sentiment Classification Based on Random Process. International Conference on Computer Science and Electronics Engineering.


Sentiment Analysis, Punjabi Language, Linguistic Resources.