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Call for Papers:Vol.11 Issue.5

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Title: :  Product Review Sentiment Analysis with Trendy synthetic dictionary and ambiguity mitigation
PaperId: :  7822
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 2 2018
DUI:    16.0415/IJARIIE-7822
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Godge Isha SudhirAmrutvahini College of Engineering
Dang Poornima MaheshAmrutvahini College of Engineering
Arvikar Shruti SanjayAmrutvahini College of Engineering
Maske Rushikesh KantraoAmrutvahini College of Engineering
Prof.A.N.NawatheAmrutvahini college of Engineering , sangamner 422605

Abstract

Computer Engineering
Dual Sentiment Analysis, POS Tagging, Sentiment Polarity, Tokenization, Opinion Mining, Data Mining.
— Data mining is the process of turning raw data into useful information. The main use of data mining is to fetch the required data and extract useful information from the data and to interpret the data. In the existing system, Bag of Words model is used along with Dual sentiment Analysis in order to classify the reviews as positive, negative and neutral. However, the performance of Bag of Words sometimes remains limited due to some fundamental deficiencies in handling the polarity shift problem. The proposed system uses a dictionary based classification for accurately classifying the reviews as positive, negative and neutral. The proposed system additionally analyses the flaws of the existing systems and thereby propose two major features such as identifying the negation oriented sentiments and the conjunction oriented sentiments which require the analysis of pre-conjunction and post conjunction sentences. So the ambiguity is reduced by analyzing such conjunction and negation based sentences. To enhance the accuracy in the classification of neutral reviews, Dual sentiment analysis method is implemented. Both the product owner and the user can identify the quality of the product based on the sentiment graph that is generated based on the reviews for each of the product.

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IJARIIE Godge Isha Sudhir, Dang Poornima Mahesh, Arvikar Shruti Sanjay, Maske Rushikesh Kantrao, and Prof.A.N.Nawathe. "Product Review Sentiment Analysis with Trendy synthetic dictionary and ambiguity mitigation" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 2 2018 Page 2045-2051
MLA Godge Isha Sudhir, Dang Poornima Mahesh, Arvikar Shruti Sanjay, Maske Rushikesh Kantrao, and Prof.A.N.Nawathe. "Product Review Sentiment Analysis with Trendy synthetic dictionary and ambiguity mitigation." International Journal Of Advance Research And Innovative Ideas In Education 4.2(2018) : 2045-2051.
APA Godge Isha Sudhir, Dang Poornima Mahesh, Arvikar Shruti Sanjay, Maske Rushikesh Kantrao, & Prof.A.N.Nawathe. (2018). Product Review Sentiment Analysis with Trendy synthetic dictionary and ambiguity mitigation. International Journal Of Advance Research And Innovative Ideas In Education, 4(2), 2045-2051.
Chicago Godge Isha Sudhir, Dang Poornima Mahesh, Arvikar Shruti Sanjay, Maske Rushikesh Kantrao, and Prof.A.N.Nawathe. "Product Review Sentiment Analysis with Trendy synthetic dictionary and ambiguity mitigation." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 2 (2018) : 2045-2051.
Oxford Godge Isha Sudhir, Dang Poornima Mahesh, Arvikar Shruti Sanjay, Maske Rushikesh Kantrao, and Prof.A.N.Nawathe. 'Product Review Sentiment Analysis with Trendy synthetic dictionary and ambiguity mitigation', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 2, 2018, p. 2045-2051. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Product_Review_Sentiment_Analysis_with_Trendy_synthetic_dictionary_and_ambiguity_mitigation_ijariie7822.pdf (Accessed : 27 June 2020).
Harvard Godge Isha Sudhir, Dang Poornima Mahesh, Arvikar Shruti Sanjay, Maske Rushikesh Kantrao, and Prof.A.N.Nawathe. (2018) 'Product Review Sentiment Analysis with Trendy synthetic dictionary and ambiguity mitigation', International Journal Of Advance Research And Innovative Ideas In Education, 4(2), pp. 2045-2051IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Product_Review_Sentiment_Analysis_with_Trendy_synthetic_dictionary_and_ambiguity_mitigation_ijariie7822.pdf (Accessed : 27 June 2020)
IEEE Godge Isha Sudhir, Dang Poornima Mahesh, Arvikar Shruti Sanjay, Maske Rushikesh Kantrao, and Prof.A.N.Nawathe, "Product Review Sentiment Analysis with Trendy synthetic dictionary and ambiguity mitigation," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 2, pp. 2045-2051, Mar-App 2018. [Online]. Available: http://ijariie.com/AdminUploadPdf/Product_Review_Sentiment_Analysis_with_Trendy_synthetic_dictionary_and_ambiguity_mitigation_ijariie7822.pdf [Accessed : 27 June 2020].
Turabian Godge Isha Sudhir, Dang Poornima Mahesh, Arvikar Shruti Sanjay, Maske Rushikesh Kantrao, and Prof.A.N.Nawathe. "Product Review Sentiment Analysis with Trendy synthetic dictionary and ambiguity mitigation." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 2 (27 June 2020).
Vancouver Godge Isha Sudhir, Dang Poornima Mahesh, Arvikar Shruti Sanjay, Maske Rushikesh Kantrao, and Prof.A.N.Nawathe. Product Review Sentiment Analysis with Trendy synthetic dictionary and ambiguity mitigation. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : 27 June 2020]; 4(2) : 2045-2051. Available from: http://ijariie.com/AdminUploadPdf/Product_Review_Sentiment_Analysis_with_Trendy_synthetic_dictionary_and_ambiguity_mitigation_ijariie7822.pdf
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