What is the best approach to perform information extraction from tourist reviews using NLP, DL? I am interested in performing some information extraction from tourist reviews about different places.
I have data of 50 different places and around 300-400 reviews about each of them and I would like to get information like: weather, experience(happy/not happy), costly/cheap, places around, best time to visit, etc.
Reviews are like:


Mahabaleshwar is a hill station situated nearby Pune. You can reach
there by road via Pune. Air connectivity is available up to Pune and
from there you can travel by road. Mahabaleshwar is having so many
mountain range. Weather is remaining very beautiful throughout the
year.
There are so many points to be visited in Mahabaleshwar like Parsi
point, Elphinstone point, Wilson Point, Arthur seat point. There is
Vennna Lake where you can have boating and horse riding. Strawberry is
available at each and every place in Mahabaleshwar which is its main
attraction. There are so many hotels available but they are somewhat
costly. By the way it is the nice place to visit.

Mahabaleshwar is a best place for tourists. It is located in Maharashtra. I also visit Mahabaleshwar when I'm free time. It is
famous for their's natural beauty. Here is a one river ans when I
visit to Mahabaleshwar then I definitely go to ride on small boat, it
Is very joyful.



Need some suggestions on what algorithm can be used and about data processing approach. Links or tutorials are would be helpful too.
Thanks!
I'm currently reading Jurafsky and Martin's Speech and Language Processing on NLP. I suggest you to take a look specifically at Chapter 17: Information Extraction. All models for this task are devoted to the extraction of lexico-syntactic patterns. They describe supervised, semi-supervised and unsupervised approaches.