Venezuela has plunged into a major political crisis amid a growing row over President Nicolas Maduro's future as the country's leader. Maduro took office for a second term on January 10 on the basis of what was by many condemned as a fraudulent election last May. The opposition, alongside Juan Guaido, rejected Maduro's claim, and on January 23, Guaido self-proclaimed interim president. The US alongside Canada, and more than 20 other countries have recognised Guaido's presidential bid. But China, Turkey, Iran, Russia and Cuba stand by Maduro. Below find all the updates from January 22 to February 19. Brazil will deliver humanitarian aid to the Venezuelan border by February 23 together with the United States at the request of Venezuela's opposition leader Juan Guaidó, presidential spokesman General Otavio Rego Barros said on Tuesday. The distribution of aid from the northern Brazilian city of Boa Vista across the border in trucks driven by Venezuelan citizens will be organized by ...
Below are the developments up to October 21. US Secretary of State Rex Tillerson is due in Saudi Arabia on Saturday to discuss the Qatar-Gulf crisis. Tillerson's tour of the region comes amid US frustration over the lack of movement in the crisis. "I do not have a lot of expectations for it being resolved anytime soon," he said in an interview with financial news agency Bloomberg on Thursday. Sheikh Tamim bin Hamad received Kuwaiti Foreign Minister Sheikh Sabah al-Khaled al-Hamad Al Sabah in Doha on Thursday to discuss the ongoing Gulf crisis. The two men discussed the political dispute - along with Kuwait's ongoing efforts to mediate the crisis. US Secretary of State Rex Tillerson has said he has little hope that the months-long Gulf diplomatic crisis will be resolved soon, blaming the Saudi-led group of countries for a lack of progress. Tillerson made the comments on Thursday, a day before he embarks on a trip to the region in a renewed attempt to mediate the dispute.
Production of news content is growing at an astonishing rate. To help manage and monitor the sheer amount of text, there is an increasing need to develop efficient methods that can provide insights into emerging content areas, and stratify unstructured corpora of text into `topics' that stem intrinsically from content similarity. Here we present an unsupervised framework that brings together powerful vector embeddings from natural language processing with tools from multiscale graph partitioning that can reveal natural partitions at different resolutions without making a priori assumptions about the number of clusters in the corpus. We show the advantages of graph-based clustering through end-to-end comparisons with other popular clustering and topic modelling methods, and also evaluate different text vector embeddings, from classic Bag-of-Words to Doc2Vec to the recent transformers based model Bert. This comparative work is showcased through an analysis of a corpus of US news coverage during the presidential election year of 2016.