I will do sentiment analysis and text classification

Services

• Sentiment Analysis
• Data Classification
• Twitter Classification
• Product Review Analysis
• Twitter Sentiment Analysis
• Data Cleaning using python
• Data scraping using python
• Label prediction
• Data classification using Machine learning Model
• Sentiment Analysis using machine learning Model
• Social Media text classification and Sentiment Analysis
• Supervised Classification

I have experience on key NLP techniques such as

1. WordCloud
2. Label Distribution Graph
3. Dataset Labeling (Intensity Analyzer)
4. Classification
5. Binary Classification
6. Tweets Analysis
7. tweets Classification

Preprocessing

• Stemming
• Lower casing
• Segmentation
• Tokenization 
• Spell Correction
• Stop-Words Removal
• Lemmatization
• Text Normalization
• Removing URLs
• Noise Removal
• Emojis Removal

Feature Extraction

• Term Frequency Analysis
• N-gram Analysis
• Feature Selection
• TD-IDF
• Tokenization/ Vectorization
• Bag of Word (BOW)

Machine Learning Model

• Classification (Multi class/ Multi label)
• Decision Tress
• Naive Bayes
• Neural Networks
• Linear regression
• Logistic regression
• Random forest algorithm
• Gradient boosting
• SVMs, etc.

Evaluation Parameter

• Precision
• Recall
• F1 Score
• Confusion Matrix