The experience in building many of the information retrieval algorithms and the level of understanding of the NLP project make the DataGyani group stand out.
This group are well experienced in the NLP and ML domain for 8 years. We are now exploring the opportunities as free lancers. Hence we would impart the industry standards and practises while delivering the assured quality of model with proper coding standards and documentation.
We have previously worked on many of the NLP tasks like named entity recognition, recommendations, search engine technologies, auto-completion of user search queries, word sense disambiguation, etc having experienced in NLP techniques like Parsing, Chunking, POS Tagging, WordNet, Language Modelling, CRF, SVM, Naive Bayes Classifiers, etc as well with the deep learning technologies like Word2vec, Glove2vec and LSTM's which would make us to choose the proper model for the given task.
For the project that is mentioned, i.e., the extraction of required information from the data:- there are many aspects which need to be considered:
1. The data and the proper definition of problem statement
2. The position and frequency of occurrence of the information needed
3. The grammar or the kind in which sentences are aligned
By taking many aspects into consideration apart from the above stated, we will design the model and extract the useful information needed.
Hope to hear from you back. Please contact in case of further details/ clarifications needed