MARKDOWN ONLINE. EXTRAERTEXTODEIMAGENES. CONVERTIRTEXTO. CORREO ELECTRONICO. EDICION TEXTO ANONIMATO. GOOGLEDRIVE. An Efficient Way to Extract the Main Topics from a Sentence. Last week, while working on new features for our product, I had to find a quick and efficient way to extract the main topics/objects from a sentence.
Since I’m using Python, I initially thought that it’s going to be a very easy task to achieve with NLTK. However, when I tried its default tools (POS tagger, Parser…), I indeed got quite accurate results, but performance was pretty bad. So I had to find a better way.