Amazon Topic Analysis

DESCRIPTION :

•Help a leading mobile brand understand the voice of the customer by analysing the reviews of their product on Amazon and the topics that customers are talking about.
•I will perform topic modeling on specific parts of speech.
•I’ll finally interpret the emerging topics.
•A popular mobile phone brand, Lenovo has launched their budget smartphone in the Indian market.
•The client wants to understand the VOC (voice of the customer) on the product.
•This will be useful to not just evaluate the current product, but to also get some direction for developing the product pipeline.
•The client is particularly interested in the different aspects that customers care about.
•Product reviews by customers on a leading e-commerce site should provide a good view.

Analysis to be done:

•POS tagging, topic modelling using LDA, and topic interpretation Content
•The sentiment against the review (4,5-star reviews are positive, 1,2 are negative)

Steps to perform:

•Discover the topics in the reviews and present it to business in a consumable format.
•Employ techniques in syntactic processing and topic modelling.
•Perform specific clean up, POS tagging, and restricting to relevant POS tags, then, perform topic modelling using LDA.
•Finally, give business-friendly names to the topics and make a table for business.
•Pandas library is used for reading CSV files.
•NLTK library is used for NLP model development.

Data Pre-Processing:

•Frist replacing or dropping the null values.
•Converting the review to lower cases.

•Removing Non-Alpha data(Digits, Punctuations, and Diacritics)in reviews text.

•Remove whitespace in reviews text.
•Tokenize the words using nltk.word_tokenize

Remove unnecessary words in reviews text.

•Using WordNetLemmatizer reviews text are lemmatized.

•Extracting only noun in review text.

•Created a topic model using LDA on the cleaned-up data with 12 topics.
•Plotting coherence score.

•Most talked topics in reviews

Most Talked Topics

•From above graph we can say that most of customers had issues with Battery of mobile

Count plot

•From above graph we can say that most of customers had combined issues with,

1.Heating issue & Battery
2.Camera, Sound & Battery
3.turbo charger & Battery

•Extracting reviews of 5 topic(review of battery)