دانلود مقاله تجزیه و تحلیل احساسات رسانه های اجتماعی
چکیده
مقدمه
کارهای مرتبط
روش شناسی
نتیجه و تجزیه و تحلیل
نتیجه
کارهای آینده
منابع
Abstract
Introduction
Related Works
Methodology
Result and Analysis
Conclusion
Future Work
References
چکیده
احساسات عقیده ای از شخص است که شخص در سایت رسانه اجتماعی خاص بیان می کند. برای شناخت مقاصد شخص در مورد یک چیز خاص، محاسبه ارزش عاطفی بررسی شخص ضروری است. TSA-Twitter Sentiment Analysis ابزاری است که ارزش ذهنی و قطبی شده یک توییت خاص را جدا از آن محاسبه می کند، همچنین توییت های اخیراً ارسال شده در مورد موضوع خاص را واکشی می کند و همچنین ارزش احساسی آنها را محاسبه می کند که به شناسایی آن کمک می کند. توییت‌های مثبت یا منفی موضوعی در کنار آن ساخته می‌شوند که نمایش گرافیکی توزیع توییت‌ها را نیز ارائه می‌دهد. TSA همچنین ارزش احساسی متنی را که کاربر وارد می‌کند، بدون در نظر گرفتن این که توییت در توییتر باشد، اعلام می‌کند.
توجه! این متن ترجمه ماشینی بوده و توسط مترجمین ای ترجمه، ترجمه نشده است.
Abstract
Sentiment is an opinion of the person which a person expresses on the particular social media site. To get to know the intentions of the person on a particular thing, calculating the sentimental value of the person's review is must. TSA-Twitter Sentiment Analysis is tool which will be calculating the subjective and polarized value of the particular tweet apart from it, it will also fetch the recently posted tweets on the particular topic and will also calculate their sentimental value which will help to identify on which topic positive or negative tweets are being made along side it will give graphical representation of tweets distribution as well. TSA will also tell the sentimental value of the user enter text regardless of that being a real time tweet on twitter.
Introduction
A tweet which is posted by a person on twitter is a sentiment which will be further classified as a positive sentiment , a negative sentiment or a neutral sentiment. Two types of sentimental values are calculated First is polarized value which ranges from -1 to +1, if the sentence polarized value is negative than there must be some presence of negative words in the sentence, on the contrary if polarized value is positive than sentence must have positive words and if value is 0 than it is a neutral word. Second is subjective value which ranges from 0 to +1, if value is closure to 0 than the tweet is fact otherwise it is personal opinion.
Conclusion
The Research Paper shows the Sentimental Analysis including polarity and subjectivity done on more than 30000 tweets of the dataset . The final result is calculated by using the Average Accuracy score, the score is a result of average of 10 accuracy scores done on three dataset Dataset A(base Dataset), Dataset B and Dataset C it signifies the best model accuracy is ~95. Monitoring the twitter defines that how a particular person is thinking about several thing which gets us to know more about the outcomes of several things like election, products, equipment and etc.