Data Technologies and Applications 

 - Emerald 
 - Quarterly 
 - Vol 53, No. 1, 2019 
<br/><br/>  The fabulous results of convolution neural networks in image-related tasks attracted attention of<br/>text mining, sentiment analysis and other text analysis researchers. It is, however, difficult to find enough<br/>data for feeding such networks, optimize their parameters, and make the right design choices when<br/>constructing network architectures 
<br/><br/><label>ISSN: </label>2514-9288 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Opinion mining--Opinion mining,
<br/><br/><label>LC Class. No.: </label>https://www.emerald.com/insight/publication/issn/2514-9288/vol/53/iss/1