ReviewSimilarity

Review ranking with the help of NLP , Text Mining and SOLR

Steps Of project :

1. Analsyis of the dataset .

2. Preprocessing of review text : -> Remove Stop words -> Special char -> Remove Duplicate tokens

3. Read the data from CSV by using csv reader

4. Insert the data into SOLR by using SOLRJ

5. Algorithms uses :

6. Calculate the similarity

7. Enabled LTR

8. Boost the reiews basis of Rating , Pos feedback count , Recomand IND

Index the data into SOLR .

#Queries :

#ALL documnent : http://localhost:8983/solr/reviews/mainselect1?q=:

Limit of documnet

http://localhost:8983/solr/reviews/mainselect1?q=*:*&rows=10 here rows according to user_input

Most positive

http://localhost:8983/solr/reviews/mainselect1?q=*:*&rows=10&fq={!frange%20l=50}field(pos_feedback_count,min)