Sentiment Analysis on Twitter Social Media using Lexicon Based Method

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

The huge development of Internet has led to an increasing in the use of networking and social networking sites (Facebook, Twitter, etc) resulting in huge amounts of data over the networks. These data are not useful and meaningful. Therefore, it is necessary to analyse these data to extract knowledge so as to benefit from it in many purposes, for example election data, finance data, sports data, etc. Referring to that the idea of opinions analysis raised to know the meaning of the large amount of data passing through Web. The sentiment analysis is one of the most important techniques that have a significant impact on social networking sites. The process of finding positive and negative data manually is very difficult from social networking sites. The lexicon based approach is one of the approaches method used in the analysis and classification of data. Lexicon based method are similar to machine learning algorithm, which is one of the most commonly used to solve most problems of automatic classification. The main objective of this research is to solve the problem of data analysis automatically in shortest possible time to get informative results from Twitter posts and comments. The word extraction process is done by fragmentation and aggregation of views. In this research we proposed a lexicon based approach to analyse social networking data. The proposed method has been implemented on data collected from Twitter site. The method collects and classifies the data into positive or negative Tweets. The proposed method has tested using three datasets collected from Twitter each dataset is about specific topic (best football player, Messi player, Tramp ) presented for the comments. The results show that the proposed method can classify the comments in shortest possible time. The method can collect 500 comments and classify them into positive or negative tweets within 5 minutes or less than. The study recommends integrating Lexicon based approach with the machine learning algorithm to improve the performance for textual data analysis.

روابط وملفات

التعريف والنوع

رقم الوثيقة

eb679f72-c234-48e2-8a87-a8d990a62d80

رقم العقد

0

نوع الوسائط

Crawler

نوع المحتوى

الرسائل العلمية

صيغة المصدر

رسائل ماجيستير

نوع الملف

pdf image

أسماء الملفات

eb679f72-c234-48e2-8a87-a8d990a62d80_1.pdf

بيانات النشر

ترجمة العنوان

تحليل الآراء في مواقع التواصل الاجتماعي (تويتر) باستخدام نهج المعجم الأساسي

ألقاب المؤلفين

[{"name_ar":"ابتهال عمر عثمان إدريس","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"عوض الله محمد أحمد","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"محمد حسن","title_ar":"اشراف","title_en":"Supervision"}]

اللغة

English

المصدر والدورية

اسم المصدر

Sentiment Analysis on Twitter Social Media using Lexicon Based Method

المحتوى والصفحات

عدد الصفحات

0

إشراف وإعداد

الإشراف

عوض الله محمد أحمد, محمد حسن

الإعداد

ابتهال عمر عثمان إدريس

الاقتباسات الببليوغرافية