Bag-of-words in contrast to N-grams does not consider word order or sequence. It captures the word occurrence frequencies in the text corpus. Bag-of-words is also used as features in tasks like sentiment analysis and topic identification. 

In the following sections, we will look at an overview of the following applications of NLP:

• Analyzing sentiment
• Recognizing named entities
• Linking entities
• Translating text
• Natural language interfaces
• Semantic Role Labeling
• Relation extraction
• SQL query generation, or semantic parsing
• Machine Comprehension
• Textual entailment
• Coreference resolution
• Searching

• Question answering and chatbots
• Converting text to voice 
• Converting voice to text 
• Speaker identification
• Spoken dialog systems
• Other applications