  We apply text analysis approaches for a specialized search engine for 3D CAD
models and associated products. The main goals are to distinguish between
actual product descriptions and other text on a website, as well as to decide
whether a given text is or contains a product name.
  For this we use paragraph vectors for text classification, a character-level
long short-term memory network (LSTM) for a single word classification and an
LSTM tagger based on word embeddings for detecting product names within
sentences. Despite the need to collect bigger datasets in our specific problem
domain, the first results are promising and partially fit for production use.
