Social media has recently become popular due to its vast applications. The common people all over the world uses its diverse channels to express personal views, experiences and opinions regarding diverse topics. Social media has revolutionized the way people interact and communicate with each other and overall, it has changed the methods and approaches in about all the aspects of life such as social issue, business, education, health, etc. Thus, sales and marketing departments of multinational industries are focusing on social media trends to analyze current trends and predict future trends by analyzing user generated content on Facebook, Flickr, Twitter, etc. However, the prediction process becomes challenging as the multiplicity of factors affect the popular elements in the social media content. This research paper aims to work on Twitter trend analysis and proposes a trend detection process over streams of tweets. The proposed approach detects the trending topics of the real-time Twitter trends along with ranking the top terms and hashtags. The paper further discusses the motivation for trend prediction over the social media; In addition to exploratory data analysis, the research paper explores the Term Frequency-Inverse Document Frequency (Tf-IDF), Combined Component Approach (CCA) and Biterm Topic Model (BTM) approaches for finding the topics and terms within given topics. In modern competitive world, this research provides investors, advertisers, industries and all the stakeholders. a detailed and comprehensive data analysis which may help them to focus their investment, area of work, marketing, and product.

社交媒体由于其广泛的应用而最近变得流行。世界各地的普通百姓都使用其多种渠道表达关于多种主题的个人观点，经验和观点。社交媒体彻底改变了人们之间相互交流和沟通的方式，从根本上改变了人们在社会问题，商业，教育，健康等生活各个方面的方法和途径。跨国行业正在关注社交媒体趋势，以通过分析Facebook，Flickr，Twitter等用户生成的内容来分析当前趋势并预测未来趋势。然而，由于多种因素影响社交媒体中的流行元素，因此预测过程变得充满挑战内容。这篇研究论文旨在进行Twitter趋势分析，并提出有关推文流的趋势检测过程。所提出的方法可以检测实时Twitter趋势的趋势主题以及排名最高的术语和主题标签。本文进一步讨论了社交媒体上趋势预测的动机。除了探索性数据分析外，该研究论文还探索了术语频率-反文档频率（Tf-IDF），组合成分方法（CCA）和双项主题模型（BTM）方法，以查找给定主题中的主题和术语。在现代竞争的世界中，这项研究为投资者，广告商，行业和所有利益相关者提供了服务。详尽而全面的数据分析，可以帮助他们集中精力进行投资，工作领域，市场营销和产品。