The experience in using many of the classification algorithms and the level of understanding of the 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 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 classification of the data into different categories:- there are many aspects which need to be considered while dealing with the problem.
1. The amount of data (Based on which I can choose the proper classifier)
2. The grammar or the kind in which sentences are aligned ( Based on which I can choose the features for the models)
3. The proper use case ( Based on which I can choose the preprocessing steps involved)
By taking all the above aspects into consideration, we will design the model accordingly.
Hope to listen from you for further clarifications/ details