[PDF] Top 20 Analysis of Major Events in Egypt Based on Twitter

... We can see from the analysis, the results of the political Sudden-Events in Fig. 2. We observe that the peak time for the three hashtags ( ثاحاىلا # “El-Wahat”, وعارشلا _ زٌسو # “Agriculture Minister” and ... See full document

... media, Twitter has become one of the most widely adopted platforms for people to post short and instant ...when major events happen, people also fol- low and tweet about ...on events are often ... See full document

... Sentiment analysis or Opinion Mining is one such tool to extract sentiment from the social media ...Sentiment Analysis (SA) as the computational study of people’s opinions, appraisals, attitudes, and ... See full document

... We want here to capitalize such a richer set of observations (i.e. entire conversations) and to define a context-sensitive SA model along two lines: first, by enriching a tweet representation to include the conversation ... See full document

... life events from user-generated text, which account the reason for the lack of previous work in this area: Challenge 1: Ambiguous Definition for Ma- jor Life Events Major life event identification is ... See full document

... index based on a large series of observations and it is only function of air dry bulb temperature and relative ...in Egypt in order to clarify the effect of the differences in climate at the northern, ... See full document

... political events to assign a political/ideological leaning of the user who posted the ...a Twitter user is following, then a political preference is assigned based on that ...from Twitter were ... See full document

... Note that these home locations don’t necessar- ily represent where the user lives. While we qual- itatively observe that these home locations usu- ally appear to be correct, they also can be gyms, offices, and other ... See full document

... Notwithstanding their higher risk, elderly patients with STEMI less frequently receive evidence-based therapies than younger patients, even in the absence of contraindications. 9 In the Register of Information and ... See full document

... P. Turney, presents a simple unsupervised learning algorithm for classifying reviews as recommended (thumbs up) or not recommended (thumbs down). The classification of a review is predicted by the average semantic ... See full document

... Trend analysis and based on that predicting public ...and analysis of huge amount of twitter ...classify twitter trending topic for that they use text based and network ... See full document

... used Twitter API using R tool which is open source. Tweets from twitter has been collected and gives to pre-processing task in that ...like twitter and Facebook ...sentiment analysis and ... See full document

... Not all pairs of dates and event terms that result from the tweet processing stage represent a sig- nificant event. Some candidate terms might not refer to an event, and some terms might denote a personal rather than a ... See full document

... We seek to automatically estimate typical durations for events and habits described in Twitter tweets. A corpus of more than 14 million tweets containing temporal du- ration information was collected. These ... See full document

... Instagram, twitter, snapchat etc , the data posted by people ...chosen twitter as a social networking ...of twitter data using python and then train as well as test this data against a classifier in ... See full document

... contributing Twitter users, as well as the nature and informativeness of the content is ...urologic Twitter users have not been investigated for qualitative characteristics and popularity measurements ... See full document

... In, [1] authors used the machine learning approach to sarcasm detection on Twitter in two languages English and Czech. First work is sarcasm detection on Czech language. They used the two classifier Maximum ... See full document

... the major crops during the average period of the nineties, namely wheat, rice and maize, indicating the significant impact of agricultural policies during the nineties on increasing wheat, rice and maize planted ... See full document

... intensive care in newborns, these five factors can be fused together. The HEART score is one tool that identifies low-risk patients who are eligible for evaluation and possible early discharge home from the ED. Large ... See full document

... Postoperative cardiac complications are one of the most common and life-threatening adverse events in elderly patients following hip fracture and TTE is the most common tool used to assess cardiac risk ... See full document