RNN-LSTM

There are numerous tools to carry out this analysis. To determine their accuracy, they should be used:

HubSpot's ServiceHub, Quick Search, Repustate, Lexalytics, Sentiment Analyzer, etc,.

Sentiment Analyzer

I only need the sentimental score for 40 words , so I need a ready tool (like this https://www.twinword.com/api/sentiment-analysis.php) or a library that I can embed in my code.

But I need to make sure the tool I use is accurate enough with an evidence/reference.

Eiman Kanjo if you want to integrate it in code, a tool will not work. A small custom code for sentiment analysis of 40 words is enough.

I have managed to use Stanford's NLP Core, but the Twinword tol seems to be more accurate.

You can use R programming for sentiment analysis.

you can use Natural Language Process(NLP) using libraries NLTK And Machine learning Classifier popular algorithm.

And also use Deep learning models (Word2vec, BERT, Tf-Idf, etc) for Word scoring.

if you just need a tool to give scores for 40 words, SentiWordNet is a library in python and its give accurate scores . Also , you can use VADER , another python library (exactly called lexicon) for sentiment analysis.

Hey Eiman Kanjo

Though I don't have experience of working on this project yet but I came across a link that just might help you in your problem.

Please find the link below.

https://data-flair.training/blogs/data-science-r-sentiment-analysis-project/

Dear @Eiman Kanjo . It depends on your context and what you intend to do. I once read a review that says that the confidence of feeling analysis in text is on average around 72%. However, it depends a lot on your data and how you preprocess it. In terms of polarity, I really like the VADER algorithm for English.

Best wishes,

pls can i get any source code for comments review using sentiment analysis