How to evaluate word vectors ?

Word vectors whether derived from word2vec or glove or by using co-occurrence statistics, they need to be evaluated for performance reasons. This can be done in 2 major ways as mentioned below: Intrinsic ways are used when word vectors are build or evaluated for a specific or an intermediate┬ásubtask. Such evaluations are fast to compute…

What are the challenges building in word embeddings from tweets vs that for wikipedia data ? Can wikipedia data be used to build embeddings for words in twitter data ?

Twitter data differs from wikipedia data in a number of ways: Twitter data, in form of tweets, is very noisy due to the following reasons. Spelling errors Abbreviations Code mixing as multiple languages are used Grammatical mistakes Tweets are very short in comparison to any normal sentence on wikipedia or news articles. This could be…