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Linguistic regularities in continuous space word representations. Distributed representations of words and phrases and their compositionality. efficient estimation of word representations in vector space. Pachinko allocation: DAG-structured mixture models of topic correlations. N-gram-based low-dimensional representation for document classification. Topic-centric classification of twitter user's political orientation. Topics in tweets: A user study of topic coherence metrics for twitter data. the Journal of machine Learning research, 3:993-1022, 2003. The Journal of Machine Learning Research, 3, 2003. Using two Twitter datasets, our results show that the WE-based metrics can capture the coherence of topics in tweets more robustly and efficiently than the PMI/LSA-based ones. We also conduct a large-scale crowdsourced user study to determine whether the new Word Embedding-based metrics better align with human preferences. To determine the usefulness of these new metrics, we compare them with the previous PMI/LSA-based metrics. Hence, in this paper, we propose new Word Embedding-based topic coherence metrics. Recently, Word Embedding (WE) has emerged as a particularly effective approach for capturing the similarity among words. hashtags), it can be challenging to train effective PMI data or LSA word representation. As Twitter data contains abbreviations and a number of peculiarities (e.g. Several coherence metrics have been proposed for evaluating the coherence of the topics generated by these approaches, including the pre-calculated Pointwise Mutual Information (PMI) of word pairs and the Latent Semantic Analysis (LSA) word representation vectors.
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The only important thing is to care for them properly.Scholars often seek to understand topics discussed on Twitter using topic modelling approaches. In conclusion, I believe that keeping animals in zoos is no more cruel than keeping them at home. Children are able to see animals from all over the world up close and this helps encourage an interest in wildlife and a desire to protect animals in the future. Successful breeding and conservation programmes can ensure the survival of endangered animals such as pandas and polar bears so that they are protected for generations to come.įinally, there are educational reasons for keeping animals in zoos.
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Zoos are regularly inspected and the animals are cared for by experts and given food, shelter and medicine if they fall ill, so there is little evidence to suggest that animals are suffering.Ī second reason in favour of zoos is that many animals are being hunted to extinction in the wild and others are dying out due to loss of habitat. In fact, there are a number of advantages which I will outline below.įirst of all, I would argue that most animals are well looked-after because there are strict regulations in place relating to animal welfare. In my opinion, there is nothing cruel about animals being kept in captivity. In recent years, the question of whether animals should be kept in zoos has become increasingly controversial. This is a simplified one-sided, 5-paragraph model to highlight features of coherence (please note that this is NOT my opinion on zoos).