How to concatenate the lexicon with term frequency?

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Python2.7

I have a labeled dataset(Arabic Tweets) and labeled Lexicon, I want to detect the emotion by machine learning algorithms.

I did the preprocessing step and other functions. just I want to apply these steps:

compute the TF scheme in order to obtain how frequently an expression (term, word) occurs in a document.

To incorporate the affective lexical features we check the presence of lexicon terms in the sentence and we obtain a vector that represents each emotional category (anger, fear, sadness, and joy).

Finally, to carry out the classification, the concatenation of the TF sentence representation and the word-based features are used as input to the different algorithms (SVM, LR, MLP, MultinomialNB).

how can I do these steps because I am a beginner in Sentiment analysis and python?

What I have tried:

how to incorporate the affective lexical features and check the presence of lexicon terms in the sentence and obtain a vector that represent each emotional category (anger, fear, sadness and joy).