sentiment_analysis
feelinganalysis_preprocessing :: allows to perform a numbers of function on string to adapt it to be analysed in other time.
feelinganalyses_features :: allows to give polarities ( positive or negative ) to a list of words, it is using also some deep learning models to set polarityes if the native class cant give a result.
feelinanalyses_implementation :: this is the main project that use _preprocessing and _features to analyse a sentiment from a given sentence.
This work is not finished yet, it needs more work but it gives good polarityes on some basic sentence.
Eg. : /** * This is some example sentence to test with : * * Casablanca is a busy, bustling city. :: return NegPol * Paris is a very expensive place to live. :: return NegPol * Istanbul is a huge city, with over thirteen million inhabitants. :: return PosPol * Thailand is an inexpensive travel destinations. :: return PosPol * hoceima can be a bit touristy and crowded during summer. :: return PosPol * Hoceima is very beautiful in the spring. :: return PosPol * */