This is the field that focus on the interaction between human language and computers

1. converted the entire text to uppercase or lowercase.
2. tokenization converts the normal text strings into list of tokens .words
3. Removing Noise this includes spaces,punctuation etc
4. removing stop words. stop words are questions not necessary for processing
5. stemming process of reducing the inflected word to their base words eg an word with ing it converted to the original word lemmatization ensures that the base word after stemming make sense
6. bag of words model: transforms the word into a meaning array bag of words is a representation of the text that describes the occurrence of words within a document

install the nltk -natural language processing tool kit is first installed.

used for tokenizing the text into list of sentences converts the words into lists of sentences

lexical database for english language its where nltk finds the meaning of the words sent_tokenize used to convert to list of sentences word_tokenize converts into list of words

Stemms the token and looks up the words in the wordnet and stores it the a variable. Defination of the functions tokenizing and for removing the punctuations from the user entered data.

responds to the user and does a short introduction about what the chat bot is for and how to leave the chat

• uses sklearn ifidvectorizer.
• converts the words into vector.
• cosinesilarity check similarity between the user query and our database.
• Defination of the response function that gives the user response based on the question.
• The function append the user tokens and vectorizes the words and compares the user questions and the databases for a match.
• Flatten converts either to row matrix or column matrix.
• if no match then it will give a message no info found.
• Each match is given an id.
• set flag to true.
• The function turns the flag to false if the user ends the session by bye.

Did I mention we need to create a .txt file and store the data where our bot will get the answers from?. Nope🤗🤗🤗 I didnt.

• so get data from wikipedia and paste it in the .txt file and the bot by use of nltk will process the data and give us the answers...

• How cool.. clone the repo and have some fun.

     🔥🔥🔥🎆🎆🎆🎆🎆