万维网是历史上最大的信息系统。三十年来，它改变了世界，通过重塑商业实践、社会互动和文化表达，影响了全球数十亿人的日常生活。它向收集和处理数据的大规模在线平台（谷歌、亚马逊、Facebook）的扩张推动了数字经济的发展，为数据科学和人工智能的进步提供了动力。
Computer Science计算机科学在互联网大潮中成为热门专业，越来越多的留学生把cs作为首选，除了就业前景好之外，其薪酬也很可观。但是作为大热专业，CS的各种作业，assignment和大大小小的exam、quiz难度都很大，对学生的英语能力和专业技能要求极高。迫于学业压力，选择Topmask的CS代考服务来帮您减轻压力吧！
Topmask CS代考的优势在哪里？
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和个人代写不同，Topmask能够承接90%以上的作业类型，如机器学习Machine Learning，大数据、云计算、网络编程、全栈开发、Network代写等难度高的计算机assignment。
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跟我们合作过的老用户都知道，我们的CS代写从不漫天开价，我们会将需求提供给工程师后，根据代写难度来定价。所以对于价格问题，同学们可以货比三家，我们不说是最便宜的价格，但绝对是性价比最高的计算机代写服务。
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下面是一个Web Science 作业代做的案例，高分45+/50通过
1. Assume that the BBC recruited you to develop a social media application. The
BBC is interested in knowing their readers’ feelings on the news and other events
covered by the broadcaster. Your job is to develop a classifier. In this context, answer the following questions:
(a) Your first task is to create Twitter datasets with positive and negative statements so that they can be used for estimating the probabilities for words in the respective classes. [Hint: Assuming that you have a social media crawler, discuss how you will automatically label positive and negative tweets; how will you avoid spurious data
(b) Your second task is to develop a lexicon-based automatic sentiment analysis method, which assigns sentiment intensity between [-100,100]. Describe an algorithm that also uses the dataset you created in (i). [Hint: identify a suitable lexicon; identify linguistic cases you may handle; specify a scoring method
(c) Now that you created a sentiment analysis method, you want to verify the method’s validity from a user’s perspective. Design a scalable user-based study to ensure your sentiment scoring method is appropriate.
2. (a) Create a vector representation for the following text. Identify and remove potential stop words. “@AlanStainer @takeitev It’s mad isn’t it. In the UK there are 8k petrol stations with multiple pumps and 25k chargers (increasing by 300 pm). They do know the climate emergency is now right? Not in 30 years’ time, Just asking”
(b) Create all biterms from the following text, “In the UK there are 8k petrol stations with multiple pumps and 25k chargers”
(c) Assume you have developed a topic model on a collection with all your university communications for the last academic year. Design a user-centred experiment to evaluate the interpretability of the model. [Hint: design tasks and justify, selection of subjects, number of users, what will you measure, how do you prove the results
(d) You have collected tweets and newspaper articles from Scotland for the last month. Identify three issues in developing topic models from this dataset. Describe a method to develop topic models from these datasets.
