  In this paper, we studied if models based on BiLSTM and BERT can generate
hashtags in Brazilian portuguese that can be used in Ecommerce websites. We
processed a corpus of Ecommerce reviews and titles of products as inputs and we
generated hashtags as outputs. We evaluate the results using four quantitatives
metrics: NIST, BLEU, METEOR and a crowdsourced score. Word Cloud was used as a
qualitative metric. Besides all computer metered metrics (NIST, BLEU and
METEOR) showed bad results, the crowdsourced showed amazing scores. We
concluded that the texts generated by the neural networks are very promising to
be used as hashtags of products in Ecommerce websites [1]. The code for this
work is available on https://github.com/augustocamargo/text-to-hashtag
