I will do sentimental analysis text classification using python nlp

HI there,

I will provide you with services related to sentiment analysis, data classification, text classification, and clustering using python language.

I will provide you with:

• Preprocessing of data
• lemmatization
• stemming
• TF-IDF
• Topic Modeling(LDA, LSA, SVD, and NMF Topic Modeling)
• Split and filter text data in preparation for analysis
• Analyze word frequency
• Perform quick sentiment analysis with NLTKs built-in classifier
• Define features for custom classification
• Use and compare classifiers for sentiment analysis with NLTK

MODELS which I use for Text Classification and Sentiment Analysis:

• VADER
• K-MEANS
• TEXT BLOBS and many more
• NAVE BYES
• Random Forest
• Clustering Algorithms

SUPPORT VECTOR MACHINE(SVM)

• Word Cloud
• Results reports
• Data Augmentation
• Topic Modeling
• Language Detection:
• Lemmatization:
• Named Entity Recognition (NER):
• Paraphrasing:
• Part-Of-Speech (POS) tagging:
• Semantic Similarity:
• Summarization: 
• Text generation:
• Tokenization: 
• Translation: 
• Data visualization
• Implementation and hyper parameters tuning of machine learning algorithms i.e. logistic regression, linear regression, Decision Trees, Random Forest, SVM and many more