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China boss Shui Qingxia has described her side as "no easy piece of cake" for England , and she will be hoping to guide her side to a place in the quarter-final after dropping out in the round of 16 last time around.
Yet hopes of such a positive outcome may not be high as, barring a handful of friendly wins over banned nation Russia, you'd have to go back to 2018 for China's last victory over European nations (D3, L10).
As for their opposition, England now need just a point from this game to mathematically guarantee progression thanks to their pair of 1-0 victories in the opening rounds.
07 Canada W 0-4 Australia W Over 1.
07 Switzerland W 0-0 New Zealand W Over 1.
07 Canada W 2-1 Ireland W Over 1.
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September 12, 2017, was the launch day for Hillary Clinton's autobiographical account of the 2016 election she lost to Donald Trump, definitively entitled 'What Happened'. By midday 1669 reviews had been written on Amazon.com. By 3pm over half of the reviews, all with 1-star ratings, had been deleted by Amazon and a new review page for the book had been set up. After Day 1, 'What Happened' had over 600 reviews and an almost perfect 5 rating. What happened?! Figure 1: Genuine support or fake reviews? Hillary Clinton's 'What Happened' Amazon rating 1 day after launch (and after all the negative reviews were deleted ) There were good reasons to view the flood of negative reviews as suspicious. Only 20% of the reviews had a verified purchase and the ratio of 5-star to 1-star reviews – 44%-51% – was highly irregular; the vast majority of products reviewed on Amazon.com display an asymmetric bimodal (J-shaped) ratings distribution (see Hu, Pavlou and Zhang, 2009), in which there is a concentration of 4 or 5 star reviews, a number of 1-star reviews and very few 2 or 3 star reviews. The charts in Figure 2 below, originally featured in this QZ article, show the extent to which 'What Happened' was initially a ratings and purchase pattern outlier. Figure 2: Two charts indicating the unusual reviewing behaviour for 'What Happened'. Source: Ha, 2017 Faced with accusations of pro-Clinton bias as a result of deleting only negative reviews, an Amazon spokesperson confirmed that the company, in taking action against "content manipulation", looks at indicators such as the 'burstiness' of reviews (high rate of reviews in a short time period) and the relevance of the content – but doesn't delete reviews simply based on their rating or their verified status. (Hijazi, 2007). Figure 3: Number and frequency of 'What Happened' reviews in the first 30 days following its launch and deletion of negative reviews. A line of fake review detection research has confirmed linguistic differences between authentic and deceptive reviews, although the linguistic deception cues are not consistent and vary depending on the domain and the audience (see my brief overview in this paper). Since we don't know the deception features in advance and no ground truth has been established (i.e. we don't know for sure if there was a deception), I'm going to use two unsupervised learning approaches appropriate for unlabeled data: factor analysis, to find the underlying dimensions of linguistic variation in all the reviews, followed by cluster analysis to segment the reviews into text types based on the dimensions with the hope of finding specific deception clusters. My prediction? Surely, Hillary Clinton's PR team would not so be so brazen as to solicit fake positive reviews in bulk and in an organised fashion. Yes, there were a disproportionate number of reviews written in the first few days but I believe this was a spontaneous groundswell of genuine support. I do expect there to be a few different types of linguistic review style, reflecting the different ways in which books can be reviewed (e.g. focus on book content; retell personal reading experience; address the reader – these are some of the review styles I presented at the ICAME39 (2018) conference in Tampere). However, if the support is spontaneous I would expect these review styles not to be correlated with burstiness or other deceptive phenomena but to occur randomly throughout the month. replica bags