We need somebody to extract a large volume of text (approximately 1 million product descriptions from e-commerce websites) and do some analysis. Specifically, we're looking for histogram of most common words AND phrases. Need to include algorithm for stemming and lemmatization and removing common filler words (and, the, etc.).
We have other text analysis and text search tasks so if you have experience in this area, that's great.
22 Freelancer bieten im Durchschnitt $210 für diesen Job
Hello, I have been scripting with python for over 5 years. I have a concentration in machine learning and NLP. I have done many data mining projects. Regards, Steven
I am doing research in information extraction and NLP in the University of Melbourne. I am confident in giving high-quality data to you in short time. Thank you very much.
I have done a lot of work in NLP and NLU where things like replacing proper noun with common noun. Eg: Donald Trump => President Work like Extracting City, state from raw text. Build Recommender system etc